Sentiment Analysis, in the simplest words, is determining whether a piece of text is positive, negative, or neutral. The system combines natural language processing and machine learning techniques to identify and extract opinions within the text. Presently, sentiment analysis has many practical applications.
Companies are constantly trying to analyze their brand presence in the market and how consumers react to their products or service through the textual feedback available online. But this information is unstructured and highly diverse. With the help of sentiment analysis APIs, data analysts can easily transform this unstructured information into structured data containing useful insights. These insights can be extremely helpful for marketing analysis, product reviews, net promoter score, and implementing important business strategies.
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