Slang feature extraction by analysing topic change on social media-Reference-Cited by-同舟云学术

Slang feature extraction by analysing topic change on social media

Published:2019-02-04 Issue:1 Volume:4 Page:64-71
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI Transactions on Intelligence Technology

Author:

Matsumoto Kazuyuki¹^ORCID,Ren Fuji¹,Matsuoka Masaya¹,Yoshida Minoru¹,Kita Kenji¹

Affiliation:

1. Graduate School of Technology, Industrial and Social Sciences, Tokushima University2‐1770‐8506Tokushima‐shiMinamijosanjima‐choJapan

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2018.1060

Reference37 articles.

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3. LauJ.‐H.CollierN.BaldwinT.: ‘On‐line trend analysis with topic models: #twitter trends detection topic model online’.24th Int. Conf. on Computational Linguistics COLING 2012 Mumbai India 2012 pp.1519–1534

4. HongL.DavisonB.D.: ‘Empirical study of topic modeling in twitter’.First Workshop on Social Media Analytics Washington DC USA 2010 pp.80–88

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