Youtube-Text-Data-Analysis

Sentiment analysis of Youtube comments, likes, and dislikes to determine the emotional tone they carry, whether they’re positive, negative, or neutral to ascertain the author’s attitude towards a topic.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NiveditaSureshK%2FYoutube-Text-Data-Analysis

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Forks: 0
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License: None
Language: Jupyter Notebook
Size: 203 MB
Dependencies parsed at: Pending

Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago

Topics: collections-python, data-analysis, emoji, matplotlib, numpy, pandas, plotly, python, seaborn, sentiment-analysis, textblob, wordcloud

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GitHub / NiveditaSureshK / Youtube-Text-Data-Analysis