Semantic analysis helps make a machine understand the meaning of a text. It uses various algorithms for the interpretation of words in sentences. It also helps understand the structure of a sentence.
Techniques used for semantic analysis are as given below:
Named entity recognition: This is the process of information retrieval that helps identify entities such as the name of a person, organization, place, time, emotion, etc.
Word sense disambiguation: It helps identify the sense of a word used in different sentences.
Natural language generation: It is a process used by the software to convert the structured data into human spoken languages. By using NLG, organizations can automate content for custom reports.
