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Sentiment Detection

Sentiment Detection

What is meant by Sentiment Detection?

The term "sentiment detection" (also known as "sentiment analysis") refers to the automated identification, classification, and evaluation of emotions, opinions, or attitudes expressed in text using natural language processing (NLP) and machine learning. The objective is to extract meaningful insights from unstructured data such as customer reviews, social media posts, or support tickets. Sentiment can be categorized as positive, negative, or neutral, and may also be identified in finer detail (e.g., angry, enthusiastic, disappointed).

Typical software functions in the area of "sentiment detection":

Examples of "sentiment detection":

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The function / module Sentiment Detection belongs to:

Marketing