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Sentiment Analysis on Streaming Comments by shrey9011 is a document available to read on EtoBox.

The document presents a study on sentiment analysis of user-generated comments on streaming platforms, focusing on the effectiveness of various Naive Bayes classifiers. The research found that the MultinomialNB model achieved the highest accuracy of 83.2%, outperforming other models, though it faced limitations in detecting sarcasm and nuances in language. The findings suggest that while MultinomialNB serves as a strong baseline, further advancements are needed for broader applications in various fields.

Author

shrey9011

Language

EN