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Semantic analysis
/səˌmæntɪk əˈnæləsɪs/noun
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Semantic analysis is the systematic examination of meaning in language, focusing on how words and phrases convey intent, context, and relationships beyond their literal definitions. In today's digital age, it's essential for applications like AI chatbots and search engines, which use it to interpret nuances and improve user experiences with more accurate responses.
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Semantic analysis played a key role in the 1950s ALPAC report, which evaluated early machine translation efforts and influenced modern AI; surprisingly, it now helps detect fake news by analyzing the underlying meaning in articles, with tools like Google's algorithms processing over 5.5 billion searches daily to filter misinformation.
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