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Fetched real-time data from Twitter API and performed data cleaning and preprocessing. Made use of NLP techniques such as tokenization, stemming, and tf-idf vectorization. Using the K-Means Clustering algorithm, the tweets were classified into 3 sentiments and the analysis report consisting of charts was displayed using Flask.
AbhishekC20001/Sentiment-Analysis-for-COVID-Vaccines-
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Fetched real-time data from Twitter API and performed data cleaning and preprocessing. Made use of NLP techniques such as tokenization, stemming, and tf-idf vectorization. Using the K-Means Clustering algorithm, the tweets were classified into 3 sentiments and the analysis report consisting of charts was displayed using Flask.
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