The project divides the tweet into three different sentiments and create a wordcloud among them with most frequent used words. The project was submitted in OpenHacks 2020.
react python flask sentiment-analysis twitter-api tweepy vader-sentiment-analysis tweet-sentiment-analysis nltk-python openhacks-hackathon openhacks-2020
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Updated
May 26, 2020 - Python