Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
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Updated
Jun 28, 2019 - Jupyter Notebook
Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
Comment bundle for eZ Platform integrating with Disqus & Facebook and allowing custom integrations
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Script to fetch comments of facebook post using PHP and cURL
Sample code provided by www.tutorialwing.com. This code demonstrates how to use facebook comment widget in your android application. For more info Visit -
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a simple iframe embed facebook comment plugin for websites
Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…
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Add a description, image, and links to the facebook-comments topic page so that developers can more easily learn about it.
To associate your repository with the facebook-comments topic, visit your repo's landing page and select "manage topics."