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[0073] Text segmentation and word frequency features
[0074] Sentence analysis in Chinese text needs to be segmented into words. How to accurately segment text sentences into words has always been a research hotspot in natural language processing technology. Hanlp is an open source Java word segmentation toolkit consisting of a series of models and algorithms. It not only provides word segmentation, but also has complete functions in terms of lexical analysis, syntactic analysis, and semantic understanding. In extreme speed mode, the word segmentation rate of Hanlp can reach 20 million words per second.
[0075] After text segmentation, it is often necessary to analyze the words in the text. In natural language processing, the word frequency statistics and word TF-IDF feature extraction of words are the most commonly used methods. The word frequency method believes that the subject words in the text often appear repeatedly in the text, so the word frequency in the text can ...
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