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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/

Jupyter Notebook 99.39% Python 0.53% JavaScript 0.03% CSS 0.01% HTML 0.05%
youtube youtube-video machine-learning natural-language-processing trends performing-sentiment-analysis nltk youtube-api prediction-model prediction-algorithm

youtube_tag_predictor_sentiment_analysis's Introduction

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:

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