Sentiment analysis, also known as opinion mining, is a natural language processing technique used to determine the sentiment or attitude expressed in a piece of text, such as a sentence, document, or social media post. It aims to understand whether the expressed sentiment is positive, negative, or neutral.

Sentiment analysis finds applications in various domains, such as social media monitoring, customer feedback analysis, brand reputation management, market research, and public opinion analysis. It enables organizations to gain insights into public sentiment, understand customer opinions, make data-driven decisions, and respond to feedback or issues effectively.

Goals: The goals of sentiment analysis are centered around understanding and extracting sentiments from textual data. Here are some key objectives of sentiment analysis:

So the goal of this project is to Classify the sentiment of sentences from the Rotten Tomatoes dataset, sentiment labels range from neutral to positive ranked from zero to 4.

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