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      Slang feature extraction by analysing topic change on social media

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          Abstract

          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.

          Most cited references19

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          topicmodels: AnRPackage for Fitting Topic Models

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            A Survey of Topic Modeling in Text Mining

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              Topic detection using paragraph vectors to support active learning in systematic reviews

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                Author and article information

                Contributors
                Journal
                TRIT
                CAAI Transactions on Intelligence Technology
                CAAI Trans. Intell. Technol.
                The Institution of Engineering and Technology
                2468-2322
                March 2019
                18 January 2019
                4 February 2019
                : 4
                : 1
                : 64-71
                Affiliations
                Graduate School of Technology, Industrial and Social Sciences, Tokushima University , 770-8506, Tokushima-shi, Minamijosanjima-cho 2-1, Japan
                Author information
                https://orcid.org/0000-0002-9820-1470
                Article
                TRIT.2018.1060 CIT.2018.1060.R1
                10.1049/trit.2018.1060
                9799a861-f43e-483b-ba92-591f6f718f7c

                This is an open access article published by the IET, Chinese Association for Artificial Intelligence and Chongqing University of Technology under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                History
                : 19 November 2018
                : 07 January 2019
                : 11 January 2019
                Funding
                Funded by: JSPS KAKENHI
                Award ID: JP15K16077, JP15H01712
                Categories
                Research Article

                Software engineering,Data structures & Algorithms,Robotics,Networking & Internet architecture,Artificial intelligence,Human-computer-interaction
                general words,social networking (online),social media,fresh information,Internet slang,neologism,SNS,target slang,youth slang,slang feature extraction,automatic information collection,Internet,document groups,social networking sites,feature extraction,slang classification method,analysing topic change

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