sagarikamehta / Twitter-Sentiment-Analysis-for-US-Airlines

Used natural language processing (NLP) to analyze tweets for US Airlines on Twitter; classified and predicted the positive, neutral, and negative sentiments behind the tweets that can help airline brands gain user insights and strategize efficiently.

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Twitter-Sentiment-Analysis-for-US-Airlines

Used natural language processing (NLP) to analyze tweets for US Airlines on Twitter; classified and predicted the positive, neutral, and negative sentiments behind the tweets that can help airline brands gain user insights and strategize efficiently.

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Used natural language processing (NLP) to analyze tweets for US Airlines on Twitter; classified and predicted the positive, neutral, and negative sentiments behind the tweets that can help airline brands gain user insights and strategize efficiently.


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Language:Python 100.0%