This project evaluates the efficiency and efficacy of sentiment analysis libraries (TextBlob, NLTK, CoreNLP, Stanza) for sentiment analysis of the Turkey earthquake. It aims to uncover insights into their performance and effectiveness in extracting sentiments from the extensive social media data related to the event.
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This project evaluates the efficiency and efficacy of sentiment analysis libraries (TextBlob, NLTK, CoreNLP, Stanza) for sentiment analysis of the Turkey earthquake. It aims to uncover insights into their performance and effectiveness in extracting sentiments from the extensive social media data related to the event.
nali2011/twitter_sentiment_analysis
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This project evaluates the efficiency and efficacy of sentiment analysis libraries (TextBlob, NLTK, CoreNLP, Stanza) for sentiment analysis of the Turkey earthquake. It aims to uncover insights into their performance and effectiveness in extracting sentiments from the extensive social media data related to the event.
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