Sentiment Analysis is a natural language processing (NLP) technique used to identify and extract subjective information from textual data, such as social media posts, customer reviews, and news articles. It involves analyzing the text to determine the emotional tone, attitude, and opinion expressed by the author towards a particular subject or entity. Sentiment analysis algorithms can classify text as positive, negative, or neutral, and can provide insights into customer satisfaction, brand reputation, and market trends.
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Source Code
https://github.com/sonuv2201/sentimen...
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