Sentiment analysis on YouTube comments using TextBlob, Vader, and BERT. The project involves data preprocessing, exploratory data analysis, sentiment classification, and visualization of results. Implemented in Python with libraries like pandas, nltk, and seaborn.
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Sentiment analysis on YouTube comments using TextBlob, Vader, and BERT. The project involves data preprocessing, exploratory data analysis, sentiment classification, and visualization of results. Implemented in Python with libraries like pandas, nltk, and seaborn.
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dvp2004/YT_Sentiment_Analysis
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Sentiment analysis on YouTube comments using TextBlob, Vader, and BERT. The project involves data preprocessing, exploratory data analysis, sentiment classification, and visualization of results. Implemented in Python with libraries like pandas, nltk, and seaborn.
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