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This project is aimed at performing sentiment analysis on textual data using natural language processing techniques. The goal is to classify the sentiment of a given piece of text as positive, negative or neutral.

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sentimentAnalysis

This project is aimed at performing sentiment analysis on textual data using natural language processing techniques. The goal is to classify the sentiment of a given piece of text as positive, negative or neutral.

Sentiment analysis is an important application of natural language processing, and can be used in various domains such as marketing, social media analysis and customer feedback analysis. This project provides a basic understanding of how sentiment analysis can be performed on textual data using machine learning models.

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This project is aimed at performing sentiment analysis on textual data using natural language processing techniques. The goal is to classify the sentiment of a given piece of text as positive, negative or neutral.

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