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Sentiment analysis uses machine learning techniques like natural language processing (NLP) and other calculations such as biometrics to determine if specific data is positive, negative or neutral.

A video game developer can get instant feedback from players about their update within the first few minutes of release, ...

Sentiment analysis — a technique that uses natural language processing (NLP), machine learning (ML) and AI to gauge emotions in customer interactions — has emerged as a powerful tool for ...

One of the top Python libraries for sentiment analysis is Pattern, which is a multipurpose library that can handle NLP, data mining, network analysis, machine learning, and visualization.

Text-based sentiment analysis typically involves using machine learning models to analyze written content such as reviews, social media posts or chat transcripts. These models classify text as ...

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