Abstract
Weibo as an informal communication and information dissemination tool, has constantly emerged with a large number of new words. Identifying new words in Weibo is of great significance for in-depth understanding and research on social hotspots and language changes. This article proposes a method for integrating word frequency features and adjacency changes to recognize new words in Weibo text. The experimental results show that this method has achieved good results in Weibo new word recognition tasks.
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