Slang feature extraction by analysing topic change on social media

Kazuyuki Matsumoto; Fuji Ren; Masaya Matsuoka; Minoru Yoshida; Kenji Kita

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Slang feature extraction by analysing topic change on social media

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Recently,the authors often see words such as youth slang,neologism and Internet slang on social networking sites(SNSs)that are not registered on dictionaries.Since the documents posted to SNSs include a lot of fresh information,they are thought to be useful for collecting information.It is important to analyse these words(hereinafter referred to as‘slang’)and capture their features for the improvement of the accuracy of automatic information collection.This study aims to analyse what features can be observed in slang by focusing on the topic.They construct topic models from document groups including target slang on Twitter by latent Dirichlet allocation.With the models,they chronologically the analyse change of topics during a certain period of time to find out the difference in the features between slang and general words.Then,they propose a slang classification method based on the change of features.

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来源
《智能技术学报》 |2019年第1期|P.64-71|共8页
作者
Kazuyuki Matsumoto; Fuji Ren; Masaya Matsuoka; Minoru Yoshida; Kenji Kita;
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作者单位

[1]Graduate School of Technology;

Industrial and Social Sciences;

Tokushima University;

770-8506;

Tokushima-shi;

Minamijosanjima-cho 2-1;

Japan;

[1]Graduate School of Technology;

Industrial and Social Sciences;

Tokushima University;

770-8506;

Tokushima-shi;

Minamijosanjima-cho 2-1;

Japan;

[1]Graduate School of Technology;

Industrial and Social Sciences;

Tokushima University;

770-8506;

Tokushima-shi;

Minamijosanjima-cho 2-1;

Japan;

[1]Graduate School of Technology;

Industrial and Social Sciences;

Tokushima University;

770-8506;

Tokushima-shi;

Minamijosanjima-cho 2-1;

Japan;

[1]Graduate School of Technology;

Industrial and Social Sciences;

Tokushima University;

770-8506;

Tokushima-shi;

Minamijosanjima-cho 2-1;

Japan;

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原文格式 PDF
正文语种 CHI
中图分类文化、科学、教育、体育;
关键词
SNSs; social media;

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Slang feature extraction by analysing topic change on social media

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