Weibo New Word Recognition Based on the Fusion of Word Frequency Features and Adjacent Changes

Authors

  • Yuanfang Xu

DOI:

https://doi.org/10.54097/ajst.v7i3.13404

Keywords:

Weibo new word recognition; Word frequency characteristics; Number of adjacency changes; language change.

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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References

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Published

29-10-2023

Issue

Section

Articles

How to Cite

Xu, Y. (2023). Weibo New Word Recognition Based on the Fusion of Word Frequency Features and Adjacent Changes. Academic Journal of Science and Technology, 7(3), 236-238. https://doi.org/10.54097/ajst.v7i3.13404