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Twitter Sentiment Analysis is a vital field of natural language processing (NLP) and data analytics that focuses on gauging public opinion, emotions, and attitudes expressed in tweets. It involves the use of various NLP techniques, machine learning algorithms, and data mining methods to classify tweets as positive, negative, or neutral. Researchers and organizations employ sentiment analysis to understand customer feedback, track brand perception, predict market trends, and monitor public sentiment during events or crises. It's a powerful tool for social listening, enabling businesses, policymakers, and individuals to make informed decisions and engage with their audience effectively in the fast-paced and dynamic world of Twitter.

Keywords

Twitter; Sentiment Analysis; Natural Language Processing (NLP); NLP Techniques

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