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Screenshots

  • Sentiment Sleuth screenshot 1
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  • Sentiment Sleuth screenshot 8

About Sentiment Sleuth

Hi, I’m Raveesh Gupta, a college student pursuing a Bachelor’s degree in Computer Science at Netaji Subhas University of Technology. I’m passionate about technology, especially in the fields of natural language processing (NLP) and machine learning (ML).

Recently, I developed a tool called Sentiment Sleuth, a sentiment analysis application designed to accurately determine the sentiment of any given text. Whether it’s a tweet, product review, or news article, Sentiment Sleuth classifies it as positive, negative, or neutral.

I’m thrilled about the potential applications of this tool, from social media monitoring to customer feedback analysis. Currently, I’m focused on improving its accuracy and adding new features to expand its capabilities.

When I’m not coding, I enjoy unwinding by binge-watching my favorite shows—it’s the perfect way to relax and recharge.

Alternatives to Sentiment Sleuth

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