Sentiment Analysis

What is Sentiment Analysis?

Definition and meaning of Sentiment Analysis

Sentiment evaLuation is a Form of Records Mining that measures the inclination of people’s critiques via herbal language processing (NLP), Computational Linguistics and textual content analysis, which can be used to extract and analyze subjective information from the Web – ordinarily Social Media and similar sources. The analyzed facts quantifies the overall Public’s sentiments or reactions closer to positive products, humans or ideas and reveal the Contextual polarity of the facts.

Sentiment evaluation is also called opinion mining.

What Does Sentiment Analysis Mean?

Sentiment evaluation uses Data Mining tactics and strategies to extract and seize records for evaluation to be able to figure the subjective opinion of a File or series of files, like weblog posts, critiques, information articles and social Media feeds like Tweets and standing UPDATEs.

Sentiment analysis lets in organizations to music the following:

• Brand reception and reputation
• New product notion and anticipation
• Company popularity
• Flame/rant detection

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