2022
DOI: 10.1155/2022/8048335
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Naive Bayesian Prediction of Japanese Annotated Corpus for Textual Semantic Word Formation Classification

Abstract: With the rapid development of Japanese information processing technology, problems such as polysemy and ambiguity at the text and dialogue level, as well as unregistered words, have become increasingly prominent because computers cannot fully “understand” the semantics of words. How to make the computer “understand” the semantics of words accurately requires the computer to “understand” the rules of converting and integrating words into words from the perspective of semantics. Traditional Japanese text classif… Show more

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