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Extract Facebook Data and save as CSV
 
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Extract data from the Facebook Graph API using the facepager tool. Much easier for those of us who struggle with API keys ;) . Blog Post: http://davidsherlock.co.uk/using-facepager-find-comments-facebook-page-posts/
Views: 209291 David Sherlock
Mining data on Facebook with Python: 1- Setting up our app for mining data on Facebook
 
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In this tutorial we will set up our app to mine data from Facebook. We will be introduces to the Facebook API Graph and setting up user token access. Let's connect out app to communicate with the Graph API to get started mining data on this huge platform. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 18718 Sukhvinder Singh
Data Mining for facebook using graph API
 
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the video actually shows a easy demostration on how data can be mined in facebook using the developers.facebook.com
Views: 1426 mutatina charles
Data Mining - Facebook part 1
 
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This tutorial shows how to access,use and communicate with Facebook API using graph API explorer.It gives a brief idea about what kind of data we can retrieve from Facebook.
Views: 27594 Vikash Khairwal
HowToDataScience : Scraping Facebook Data
 
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Code used in this video: https://github.com/ritvikmath/ScrapingSocialMediaData/blob/master/Scraping%20Facebook%20Data.ipynb
Views: 8036 ritvikmath
How to Scrape Emails from Websites and Facebook Fan Pages
 
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Click here to download the scraper http://bit.ly/local-web-scraper Take Free Mini Course on Cold Emailing New Clients https://rebrand.ly/coldemail Tools Mentioned: Email support that you watched Joseph Cartwright's video and you will get 200 additional pages to scrape https://rebrand.ly/data-miner Verify Your Emails https://rebrand.ly/clean-emails
Views: 88113 Joseph Cartwright
Introduction To Facebook Social Graph API With Python
 
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Introduction To Facebook Social Graph API With Python In this video we are going to talk about Facebook Social Graph API and how you can use Facebook Social Graph API Explorer also we are going to use Python programming language for retrieving some data from Facebook What Is Facebook Social Graph API ? As it is clear Facebook is the biggest social network, and if you are a web miner and you want to access users account data that is explicitly available is by registering an application and using that application as the entry point into the Facebook developer platform, so the only data that is available to an application is whatever the user has explicitly authorized to access.so if you want to get more information about this you can chek Facebook Platform Policies Document The Graph API is the primary way for apps to read and write to the Facebook social graph. All of our SDKs and products interact with the Graph API in some way, and our other APIs are extensions of the Graph API, so understanding how the Graph API works is crucial. Source code and more information: https://teachyourselve.blogspot.com/2019/02/introduction-to-facebook-social-graph.html Facebook Developer Website https://developers.facebook.com/docs/graph-api/
Views: 2116 Parwiz Forogh
Facebook Data Extraction Tutorial 2016 - Analyze Your Facebook Stats With Netvizz App
 
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My website: http://smediahub.com/ There’s a lot of criticism towards Facebook for not really allowing an easy way to export your personal data. However, netvizz Facebook app by Bernhard Rieder (professor at University of Amsterdam) provides a tool that can do just that and even much more. The way netvizz functions is very simple. First, you need to authorize the app to have access to your Facebook friendship connections. The next step is to open the app page and choose whether you want to export your own personal network or any of the groups that you belong to. If you have more than 1000 friends the process may take a long time (several minutes), but it’s worth it, because at the end you get a GDF file (which is a variation of CSV format) where all your Facebook friendships, relationships and even some meta-data are encoded. You can then open this file using a network visualization package (for example, Gephi) and get a neat visual representation of your Facebook network, communities that it’s comprised of, and the most influential members.
Views: 31366 Thomas Joslyn
Getting Started with the Graph API
 
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An introduction to Facebook's Graph API which is the primary way to programmatically integrate with Facebook - publishing Open Graph stories, reading data about the current user - their details, likes and interests and friends. Read the full Getting Started guide at https://developers.facebook.com/docs/getting-started/graphapi/ We cover: - the difference between Objects (also known as Edges) and Connections - Using the Graph API Explorer we see how to build up deep graph queries which dive several layers deep into the Graph - How we need to request additional permissions to access more data about the user, or to have permission to publish on behalf of the user.
Views: 387665 Facebook Developers
Facebook Data Extractor - Facebook ID / Email Scraper
 
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Download Now ►► http://anhanh.net Facebook Data Extractor Software Tool Helps to scraping ID and Email on Facebook Page and Group, you can easy export all lead people as Page Likes and Group Members. You also can export interaction users on Post (all people who comment, like & share on a Post). --------------------- Anh-Anh --------------------- Sales and Marketing Software for Automation Business - Website: http://anhanh.net - Facebook: https://facebook.com/anhanhsoftware - Skype: anhanhsoftware
Views: 4231 Anh Anh
Data Mining #Facebook
 
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This is how to mine personal Data from facebook. https://satoshibox.com/3z6dwcvsks5fnxahns5w3z3d facebook,data mining,data,facebook data mining,data mining facebook,data mining for facebook,facebook data mining using r programming,data mining facebook using r,facebook data leak,data mining facebook using curl,data mining facebook using linux,mining data on facebook,data mining for facebook using graph api,mining data on facebook with python,mining facebook posts,facebook api,data science
Views: 56 IT- Guy
Facebook data extractor tool | Simple Audience X Latest 2019
 
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Views: 1472 Dhersara
Data Mining - Facebook part 2
 
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This tutorial shows how to access,use and communicate with Facebook API using graph API explorer to extract a huge amount of data. 500 Facebook users data has been extracted for demonstration in this video.
Views: 6277 Vikash Khairwal
Mining data on Facebook with Python: 3- Time frequency analysis of Facebook posts with Python
 
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After downloading all our posts, we will perform the first analysis based on the creating time of different posts. The purpose of this analysis is to highlight user's behaviours, such as at what time of day the user posts most content on Facebook. We will use Python, pandas, numpy, matplotlib and the jsonl file we created in the earlier video. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 1386 Sukhvinder Singh
Lesson-02: Download & Save Facebook data - Facebook Data Analysis with Python
 
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Download and Save and scrap all posts and comments count and likes for a certain page or group using Python and Graph API contact me on: https://www.linkedin.com/in/nourgalaby/ https://www.upwork.com/fl/ngalaby
Views: 19379 Nour Galaby
Facebook graph api : Graph api to extract data from facebook
 
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This video helps you learn how to get data from Facebook using graph api v2.5 Step 1: Create Facebook app using below link https://developers.facebook.com/docs/apps/register Step 2: Get access token using below link Manually : https://developers.facebook.com/tools/explorer Programmatically to get lifetime access token: https://graph.facebook.com/oauth/access_token?grant_type=fb_exchange_token&client_id=client_id&client_secret=secret _key&fb_exchange_token=access_token Step 3: Retrieve data from Facebook using below link https://graph.facebook.com/Page_id/feed?access_token=Access_Token
Importing data in python - Fetch Data from Facebook Graph API
 
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Visit complete course on Data Science with Python : https://www.udemy.com/data-science-with-python-and-pandas/?couponCode=YTSOCIAL090
Views: 21807 MyStudy
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 77972 edureka!
Text Analytics With R | How to Connect Facebook with R | Analyzing Facebook in R
 
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In this text analytics with R tutorial, I have talked about how you can connect Facebook with R and then analyze the data related to your facebook account in R or analyze facebook page data in R. Facebook has millions of pages and getting emotions and text from these pages in R can help you understand the mood of people as a marketer. Text analytics with R,how to connect facebook with R,analyzing facebook in R,analyzing facebook with R,facebook text analytics in R,R facebook,facebook data in R,how to connect R with Facebook pages,facebook pages in R,facebook analytics in R,creating facebook dataset in R,process to connect facebook with R,facebook text mining in R,R connection with facebook,r tutorial for facebook connection,r tutorial for beginners,learn R online,R beginner tutorials,Rprg
Mining data on Facebook with Python: 4- Getting posts from a Facebook page and do some analysis
 
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We will get some basic information from a Page and then download all posts in a jsonl file to later do some visual analysis on the data collected. We will end this video tutorial series with a wordcloud analysis of the posts collected from a page. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 4203 Sukhvinder Singh
Python data extraction:   facebook graph api
 
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Short talk on how to use facebook graph api to extract data. Thai language.
Views: 2195 Natawut Nupairoj
Facebook text analysis on R
 
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For more information, please visit http://web.ics.purdue.edu/~jinsuh/.
Views: 12804 Jinsuh Lee
Facebook Data Scraper
 
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Download Now ►► http://anhanh.net Facebook Data Scraper Software Tool help to scraping data (Id, Email) from Group Members, Page Likes, Event Guests & Friends Contacts. * Product: AutoNetworks --------------------- Send Message To All Facebook Page Fans https://www.youtube.com/watch?v=4ZROHNRugoc Send Message To All Facebook Group Members https://www.youtube.com/watch?v=zFIrB2hNpcY Send Message To All Facebook Event Guests https://www.youtube.com/watch?v=LaGb2D2s04M --------------------- Anh-Anh --------------------- Sales and Marketing Software for Automation Business - Website: http://anhanh.net - Facebook: https://facebook.com/anhanhsoftware - Skype: anhanhsoftware
Views: 163 Anh Anh
Social Media Mining & Scrapping with Python
 
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Social media crawler/scrapper that dumps images, tweets, captions, external links and hashtags from Instagram and Twitter in an organized form. It also shows the most relevant hashtags with their frequency of occurrence in the posts. Github Link https://github.com/the-javapocalypse/Social-Media-Scrapper/blob/master/README.md Twitter App https://apps.twitter.com/ Please Subscribe! And like. And comment. That's what keeps me going. Follow Me Facebook: https://www.facebook.com/javapocalypse Instagram: https://www.instagram.com/javapocalypse
Views: 3057 Javapocalypse
Twitter Sentiment Analysis using Hadoop on Windows
 
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This is a demonstration based session which will show how to use a HDInsight (Apache Hadoop exposed as an Azure Service) cluster to do sentiment analysis from live Twitter feeds on a specific keyword or brand. Sentiment analysis is parsing unstructured data that represents opinions, emotions, and attitudes contained in sources such as social media posts, blogs, online product reviews, and customer support interactions. The demo uses Hadoop Hive and MapReduce to schematize, refine and transform raw Twitter data. It will also focuses on the Hive endpoint that HDInsight exposes for client applications to consume HDInsight data through the Hive ODBC interface. Finally, this session will show the present day self-service BI tools (Power View, Power Query and Power Map) to demonstrate how you can generate powerful and interactive visualization on your twitter data to enhance your brand promotion/productivity with just a few mouse clicks.
Views: 36077 D S
Facebook pushing encrypted apps for more secure data mining
 
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So why is Facebook really pushing secure encrypted communication apps? Do you think they really care about online privacy or is it something more sinister?
Views: 5 Dan it all
Facebook JavaScript SDK Tutorial | Getting Started (Login & Graph API)
 
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Want a quick start to using the Facebook JavaScript SDK on your website? Watch this tutorial, and by the end, you'll understand all the basics and even how to test and debug on your own computer! Read more on my blog post: https://washamdev.com/facebook-sdk-javascript-tutorial-graph-api-facebook-login/ 0:00 - Intro 0:50 - Facebook App settings 2:28 - Begin a new project in Visual Studio for testing 4:53 - Facebook SDK JavaScript code snippet 6:56 - window.fbAsyncInit function 7:36 - Facebook Share button 10:12 - FB.init function 12:31 - Like or Send buttons 13:26 - Callbacks from FB.ui 15:55 - Facebook Login 18:40 - Sign out of your app to test your login flow 21:42 - Requesting and handling scopes or permissions 23:48 - Login popup blocked 24:45 - Add a clickable login button 26:30 - Make an API call via FB.api 28:18 - Include Facebook-supported and styled login buttons
Views: 1860 Washam Development
Detecting Malicious Facebook Applications
 
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Detecting Malicious Facebook Applications TO GET THIS PROJECT IN ONLINE OR THROUGH TRAINING SESSIONS CONTACT: Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai – 83. Landmark: Next to Kotak Mahendra Bank / Bharath Scans. Landline: (044) - 43012642 / Mobile: (0)9952649690 Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Puducherry – 9. Landmark: Opp. To Thattanchavady Industrial Estate & Next to VVP Nagar Arch. Landline: (0413) - 4300535 / Mobile: (0)8608600246 / (0)9952649690 Email: [email protected], Website: www.jpinfotech.org, Blog: www.jpinfotech.blogspot.com With 20 million installs a day, third-party apps are a major reason for the popularity and addictiveness of Facebook. Unfortunately, hackers have realized the potential of using apps for spreading malware and spam. The problem is already significant, as we find that at least 13% of apps in our dataset are malicious. So far, the research community has focused on detecting malicious posts and campaigns. In this paper, we ask the question: Given a Facebook application, can we determine if it is malicious? Our key contribution is in developing FRAppE—Facebook’s Rigorous Application Evaluator—arguably the first tool focused on detecting malicious apps on Facebook. To develop FRAppE, we use information gathered by observing the posting behavior of 111K Facebook apps seen across 2.2 million users on Facebook. First, we identify a set of features that help us distinguish malicious apps from benign ones. For example, we find that malicious apps often share names with other apps, and they typically request fewer permissions than benign apps. Second, leveraging these distinguishing features, we show that FRAppE can detect malicious apps with 99.5% accuracy, with no false positives and a high true positive rate (95.9%). Finally, we explore the ecosystem of malicious Facebook apps and identify mechanisms that these apps use to propagate. Interestingly, we find that many apps collude and support each other; in our dataset, we find 1584 apps enabling the viral propagation of 3723 other apps through their posts. Long term, we see FRAppE as a step toward creating an independent watchdog for app assessment and ranking, so as to warn Facebook users before installing apps.
Views: 5365 jpinfotechprojects
Install Maltego In Windows 10 | Forensic Hacking Tool | Digital Hacker
 
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Install Maltego In Windows 10 | Forensic Hacking Tool | Digital Hacker Maltego : From Wikipedia Maltego is proprietary software used for open-source intelligence and forensics, developed by Paterva. Maltego focuses on providing a library of transforms for discovery of data from open sources, and visualizing that information in a graph format, suitable for link analysis and data mining. Maltego permits creating custom entities, allowing it to represent any type of information in addition to the basic entity types which are part of the software. The basic focus of the application is analyzing real-world relationships between people, groups, websites, domains, networks, internet infrastructure, and affiliations with online services such as Twitter and Facebook. It is used by security researchers and private investigators. If any questions Ask me on Comment or Contact : Facebook : https://www.facebook.com/DigitalHack3r Twitter : https://twitter.com/Shehryar_DH Google+ : https://plus.google.com/+DigitalHacker Warning : This video is Educational purpose only. I am not responsible how you use this tool. Note : Copyright © 2017 by Digital Hacker All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher.
Views: 5395 Digital Hacker
[Tutorial] Facebook data scraping tutorial for very beginner developer.
 
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Let get some facebook data. HttpHandler class you can find at that this repo: https://github.com/ThinhVu/Mmosoft.Facebook.Sdk
Views: 3278 Eww Eww
Automate Social - Grab Social Data with Python - Part 1
 
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Coding with Python - Automate Social - Grab Social Data with Python - Part 1 Coding for Python is a series of videos designed to help you better understand how to use python. In this video we discover a API that will help us grab social data (twitter, facebook, linkedin) using just a person's email address. API - FullContact.com Django is awesome and very simple to get started. Step-by-step tutorials are to help you understand the workflow, get you started doing something real, then it is our goal to have you asking questions... "Why did I do X?" or "How would I do Y?" These are questions you wouldn't know to ask otherwise. Questions, after all, lead to answers. View all my videos: http://bit.ly/1a4Ienh Get Free Stuff with our Newsletter: http://eepurl.com/NmMcr The Coding For Entrepreneurs newsletter and get free deals on premium Django tutorial classes, coding for entrepreneurs courses, web hosting, marketing, and more. Oh yeah, it's free: A few ways to learn: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (40k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 48125 CodingEntrepreneurs
Introduction of Orange:A data visualization and data mining tool.
 
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Orange: A data visualization and data mining tool, drag and drop method to create neural networks. Easy tool to get start. For more information visit- https://www.matlabsolutions.com/ Like us on Facebook: https://www.facebook.com/MATLABsolutions/ Tweet to us: https://twitter.com/matlabsolution1 Follow us on Instagram: https://www.instagram.com/matlabsolutionss/
Views: 144 MATLAB Solutions
web scraping using python for beginners
 
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Learn Python here: https://courses.learncodeonline.in/learn/Python3-course In this video, we will talk about basics of web scraping using python. This is a video for total beginners, please comment if you want more videos on web scraping fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com Download LearnCodeOnline.in app from Google play store and Apple App store
Views: 190494 Hitesh Choudhary
Apple doesn't actually care about your privacy
 
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Apple's infallible privacy grandstanding is a masterpiece of distinguishable marketing. For Apple privacy is a clever trick with words that lets them get away with the same invasive practices for which other companies eat the dirt. Sign up for NordVPN at https://nordvpn.org/thehatedone or use my coupon code 'thehatedone' at the checkout to save 75% on the 3-year plan! When it comes to the software Apple provides, they aren’t treating your data any differently than other software companies. Companies that promise you strong privacy and security begin with preventing themselves from accessing your data. Apple doesn’t do that. iMessage's implementation of end-to-end encryption is very poor when compared to other protocols like Signal. iMessage doesn’t provide any interface to verify authenticity of contacts which allows Apple to inject keys that would enable them or law enforcement agencies to monitor your conversations in real time. iMessage doesn’t obscure metadata. All your contacts, IP addresses, time stamps, and the size and presence of attachments is open for surveillance. Sources Apple privacy hypocrisy due to censorship in China https://www.nytimes.com/2017/07/29/technology/china-apple-censorhip.html Apple and government surveillance https://theintercept.com/2014/09/22/apple-data/ http://appleinsider.com/articles/13/06/06/apple-reportedly-last-company-to-join-governments-prism-data-mining-program NSA mass surveillance cooperation with the big tech https://www.washingtonpost.com/investigations/us-intelligence-mining-data-from-nine-us-internet-companies-in-broad-secret-program/2013/06/06/3a0c0da8-cebf-11e2-8845-d970ccb04497_story.html?utm_term=.277e14f1d5ee NSA gag order to silence mass surveillance http://america.aljazeera.com/articles/2014/1/27/us-to-allow-internetcompaniestodisclosemoredetailsonnsarequests.html NSA fines non-compliant service providers https://www.theguardian.com/world/2014/sep/11/yahoo-nsa-lawsuit-documents-fine-user-data-refusal Snowden on Apple vs FBI https://theintercept.com/2016/03/08/snowden-fbi-claim-that-only-apple-can-unlock-phone-is-bullshit/ Apple products still reveal a lot of information to the FBI https://www.lawfareblog.com/iphones-fbi-and-going-dark All the data Apple can give to the police https://arstechnica.com/gadgets/2014/05/new-guidelines-outline-what-iphone-data-apple-can-give-to-police/ Apple reveals US surveillance requests https://www.theguardian.com/technology/2013/jun/17/apple-reveals-us-surveillance-requests iMessage privacy https://blog.quarkslab.com/imessage-privacy.html The case against Apple privacy https://appleinsider.com/articles/15/01/21/nsa-leaker-edward-snowden-refuses-to-use-apples-iphone-over-spying-concerns---report https://readwrite.com/2013/05/02/apples-privacy-record-sucks-heres-why-you-should-care/ https://www.eff.org/who-has-your-back-2013 https://www.eff.org/who-has-your-back-2017 https://www.forbes.com/sites/theopriestley/2015/08/24/did-apple-lie-about-your-privacy/ https://www.theatlantic.com/technology/archive/2019/01/apples-hypocritical-defense-data-privacy/581680/ https://www.gnu.org/proprietary/malware-apple.en.html https://mobile.twitter.com/alexeheath/status/1090618686258458624 Secret Apple-Facebook deal over users data https://www.nytimes.com/interactive/2018/06/03/technology/facebook-device-partners-users-friends-data.html Facebook vs Apple https://www.washingtonpost.com/technology/2019/01/30/facebook-paid-teens-use-research-app-that-could-monitor-online-activity-communication/?noredirect=on https://arstechnica.com/information-technology/2019/02/in-addition-to-facebooks-apple-restores-googles-ios-app-certificate/ https://arstechnica.com/gadgets/2019/01/facebook-and-google-offered-gift-cards-for-root-level-access-to-ios-users-data/ Privacy on Apple products https://arstechnica.com/information-technology/2018/09/dozens-of-ios-apps-surreptitiously-share-user-location-data-with-tracking-firms/ https://www.theguardian.com/technology/2014/nov/04/apple-data-privacy-icloud https://www.washingtonpost.com/news/the-switch/wp/2014/10/30/how-one-mans-private-files-ended-up-on-apples-icloud-without-his-consent/?noredirect=on https://theintercept.com/2016/11/17/iphones-secretly-send-call-history-to-apple-security-firm-says/ Differential privacy https://www.wired.com/2016/06/apples-differential-privacy-collecting-data/ https://www.wired.com/story/apple-differential-privacy-shortcomings/ https://www.apple.com/legal/privacy/en-ww/ https://www.apple.com/privacy/ Bitcoin: 1C7UkndgpQqjTrUkk8pY1rRpmddwHaEEuf Dash Xm4Mc5gXhcpWXKN84c7YRD4GSb1fpKFmrc Litecoin LMhiVJdFhYPejMPJE7r9ooP3nm3DrX4eBT Ethereum 0x6F8bb890E122B9914989D861444Fa492B8520575 Music by CO.AG Music https://www.youtube.com/channel/UCcavSftXHgxLBWwLDm_bNvA Follow me: https://twitter.com/The_HatedOne_ https://www.bitchute.com/TheHatedOne/ https://www.reddit.com/r/thehatedone/ https://www.minds.com/The_HatedOne
Views: 79324 The Hated One
All comments from facebook page to CSV/Excel/Google Spreadsheets
 
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Pick a Facebook page, grab all the comments, save as CSV
Views: 40872 David Sherlock
Mining data on Facebook with Python: 2 - Mining our Facebook posts with Python
 
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After setting up our app on Facebook and after getting it to communicate with facebook-sdk we will now start to download our own posts. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: http://bit.ly/2otJDwn ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 3391 Sukhvinder Singh
How To: Creating a Facebook application for Graph API
 
02:58
Creating a basic Facebook application for Facebook Page Moderator More details in the Support Area section: https://fbpagemoderator.com
Social Media Social Data and Python: 4 - Social Media Mining Techniques
 
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In this video we will briefly discuss the overall process for building a social media mining application, before digging into the details. ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 2669 Sukhvinder Singh
SAS Tutorials For Beginners | SAS Training | SAS Tutorial For Data Analysis | Edureka
 
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same! In this SAS Tutorial video you will understand: 1) Why Data Analytics? 2) What is Data Analytics? 3) Data Science Analytics Tools 4) Why SAS? 5) What is SAS? 6) What SAS Solves? 7) Components of SAS 8) How can we practice Base SAS? 9) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete SAS Training playlist here: https://goo.gl/MMLyuN #SASTraining #SASTutorial #SASCertification How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros. - - - - - - - - - - - - - - Why Learn SAS? The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively. - - - - - - - - - - - - - - Who should go for this course? This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for: 1. Analytics professionals who are keen to migrate to advanced analytics 2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist 3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics 4. Testing professionals to move towards creative aspects of data analytics 5. Mainframe professionals 6. Software developers and architects 7. Graduates aiming to build a career in Big Data as a foundational step Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/sas-training Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
Views: 55184 edureka!
Intro - Mining Data from Social Media with Python
 
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Intro to video tutorial series for Mining Data from Social Media with Python ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 12935 Sukhvinder Singh
Gephi Tutorial: Visualizing Facebook Network
 
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A short introduction to Gephi through the visualization of my Facebook network from the Data J Lab at Tilburg University
Views: 122515 Data J Lab
Scrape Facebook Data with F! Data Miner
 
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Extract Facebook users and ids from pages/groups/profiles. Extract friend lists and followers. https://fbdataminer.com
Views: 11078 F Data
Facebook Comments & Twitter Tweets - Searching for Keywords
 
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Ever wanted to do some sort of data mining on tweets or facebook comments? Here's your chance with Power Pivot! use the DAX function SEARCH to look through comments for some specific keywords. Follow me on Twitter: https://twitter.com/EscobarMiguel90 Sponsor: http://www.poweredsolutions.co
Views: 2248 The Power User
WEKA TOOL LATEST VERSION FREE DOWNLOAD
 
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guys in 4:40 you will see a image which signifies , you have installed the correct weka tool. Guys if you have any queries , just leave in comment . I ensure you that this video is just to create knowledge about how to install weka tool and work in system And please like, comment, share this video. Instagram : https://www.instagram.com/saravana_vel_tagore/ Facebook : https://www.facebook.com/saravana.vel.7355079
Views: 47 Saravana Vel
Extract Data From Fb Part 1
 
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Exploring available data on facebook page. Important links bellow: https://developers.facebook.com/tools/explorer/ https://graph.facebook.com/PageId/posts?access_token=*******&include_hidden=true http://jsonviewer.stack.hu/
Views: 301 oueslati oumaima
Facebook Data Extractor
 
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Facebook Data Extractor - Only 200 USD Call / Whats-app @ +918895436663
Views: 1498 Dinesh Ladhania
Facebook Data Analysis with Python Part 7: Most Liked Posts
 
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Facebook Data Analysis with Python Part 7: Most Liked Posts
Views: 190 Afiz