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  • What Is Sentiment Analysis?
  • Types of Sentiment Analysis

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  1. Machine Learning
  2. Applications

Sentiment Analysis

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Last updated 2 years ago

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Sentiment analysis (or opinion mining) is a technique used to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in , and understand customer needs.

What Is Sentiment Analysis?

Sentiment analysis is the process of detecting positive or negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers.

Types of Sentiment Analysis

Sentiment analysis focuses on the polarity of a text (positive, negative, neutral) but it also goes beyond polarity to detect specific feelings and emotions (angry, happy, sad, etc), urgency (urgent, not urgent) and even (interested v. not interested).

Graded Sentiment Analysis

Emotion detection

Aspect-based Sentiment Analysis

natural language processing (NLP)
customer feedback
intentions