Sentiment Analysis
Sentiment analysis is a natural language processing (NLP) technique used to determine the emotional tone or attitude expressed in text data, such as positive, negative, or neutral sentiments. It involves analyzing words, phrases, and context to classify subjective information, often applied to social media posts, reviews, and customer feedback. This process helps automate the extraction of insights from large volumes of unstructured text.
Developers should learn sentiment analysis to build applications that automatically gauge public opinion, monitor brand reputation, or enhance customer service by analyzing feedback in real-time. It is particularly useful in industries like marketing, finance, and e-commerce for tasks such as product review analysis, social media monitoring, and market research, enabling data-driven decision-making.