How does semantic analysis work?

Semantic analysis is a technique used in natural language processing (NLP) to understand the meaning of words and phrases in a given text. It involves breaking down a sentence into its individual components and analyzing the relationship between them to comprehend the intended message. Machine learning algorithms are commonly used to identify patterns and similarities in language usage, which can then be used to determine the overall sentiment or theme of a given text. Semantic analysis also involves using various techniques for entity recognition, such as named entity recognition, to identify specific entities and their relationships within the text. This approach allows computers to extract, organize, and analyze large volumes of text data, including social media posts, customer feedback, and news articles, to gain valuable insights and improve decision-making processes.

This mind map was published on 14 June 2023 and has been viewed 123 times.