Sentiment Analysis

Sentiment analysis is a process of using natural language processing, text analysis, and computational linguistics to identify and extract subjective information from text data. It involves analyzing the sentiment, opinion, emotion, and attitude expressed in a piece of text, such as social media posts, customer reviews, and news articles. The goal of sentiment analysis is to determine whether the overall sentiment of a piece of text is positive, negative, or neutral. This is achieved by using machine learning algorithms, such as Naive Bayes, Support Vector Machines, and Neural Networks, to classify the text into different sentiment categories. Sentiment analysis has various applications in business, marketing, politics, and social sciences, such as brand monitoring, customer feedback analysis, reputation management, and public opinion analysis.
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