Sentiment analysis in Python is a text classification technique that determines the emotional tone of a text by analyzing words and phrases to identify their sentiment. The sentiment can be positive, negative, or neutral.Sentiment Analysis is a use case of Natural Language Processing (NLP) and comes under the category of text classification.
Sentiment analysis is a use case of Natural Language Processing (NLP) and is also known as Opinion Mining. It can be used to identify and extract insights from subjective information such as user reviews, social media posts, and survey answers.
1.Sentiment analysis has many applications, including:
2.Predicting customer behavior
3.Testing product adaptability
4.Automating customer preference reports
5.Analyzing movie reviews
