abhishekdutta / youtube_tag_predictor_sentiment_analysis

We are using YouTube videos to analyze and predict tags associated with each video using Machine Learning techniques and find interesting trends by performing sentiment analysis using Natural Language Processing on the top 10 trending videos in YouTube using title, description and comments.

Home Page:https://pengyangwu.github.io/CS1951a/

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youtube_tag_predictor_sentiment_analysis

We are using YouTube videos to analyze and predict tags associated with each video using Machine Learning techniques and find interesting trends by performing sentiment analysis using Natural Language Processing on the top 10 trending videos in YouTube using title, description and comments.


Back end (Part 2): Prepocessing (Extraction, Cleaning and Condensing), Machine Learning and Sentiment Analysis Model

Back end <---

Files: ipython notebook/python


This is the Data Science (CS1951a) Final Project Website [Click Here]



Front end

Front-end source code is here:

Files: html/css/js



Back end (Part 1): Data Grabbing by YouTube API

Back-end source code is here:

About

We are using YouTube videos to analyze and predict tags associated with each video using Machine Learning techniques and find interesting trends by performing sentiment analysis using Natural Language Processing on the top 10 trending videos in YouTube using title, description and comments.

https://pengyangwu.github.io/CS1951a/


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Language:Jupyter Notebook 99.4%Language:Python 0.5%Language:HTML 0.0%Language:JavaScript 0.0%Language:CSS 0.0%