What kind of analysis helps to identify customer sentiments towards a product?

Sentiment analysis is a technique specifically designed to assess and interpret the feelings and emotions expressed in text data. By utilizing natural language processing (NLP), sentiment analysis examines customer feedback, social media posts, reviews, and other forms of communication to determine whether the sentiment is positive, negative, or neutral. This analysis provides businesses with valuable insights into how customers perceive their products or services, allowing for better decision-making and targeted improvements.

In contrast, intent analysis focuses on understanding what action a customer intends to take, named entity recognition identifies and categorizes key entities within a text, and part of speech tagging involves labeling words in a sentence based on their grammatical roles. While these are all important tools in the field of NLP and can provide valuable information, they do not specifically assess customer sentiment.