Results for tag: "Sentiment Analysis"

Sentiment Analysis is a sub-field of Natural Language Processing (NLP) that focuses on the identification and extraction of subjective information from text. It is used to determine the attitude, opinion, or emotion of a speaker or writer with respect to a particular topic. Sentiment Analysis is used in a variety of applications, such as customer feedback analysis, opinion mining, and market research. Sentiment Analysis is a rapidly growing market, with many companies offering solutions for businesses to gain insights from customer feedback. Companies such as Clarabridge, Lexalytics, and Textalytics provide sentiment analysis solutions that enable businesses to gain insights from customer feedback and other text sources. Other companies such as IBM, Microsoft, and Google offer sentiment analysis solutions as part of their larger NLP offerings. Show Less Read more