What is meant by "semantic analysis" in AI?

Semantic analysis in AI refers to the process of understanding the meaning and context of words in natural language. This involves interpreting the relationships between words, recognizing synonyms, and grasping the nuances of language that contribute to an overall understanding of the text.

This level of analysis is crucial because mere syntax, or the arrangement of words, does not convey meaning. Semantic analysis considers not only the individual words but also how they interact within a sentence or larger context, allowing AI systems to comprehend and respond to human language more effectively. It underpins various applications, such as chatbots, search engines, and language translation tools, enabling them to process and interpret text in ways that align with human understanding.

In contrast, categorizing data and evaluating sentiment focus on different dimensions of text analysis, while syntax analysis zeroes in on grammatical structures rather than meaning.