NDLI: Extracting unknown words from Sina Weibo via data clustering

Content Provider	IEEE Xplore Digital Library
Author	Kai Lei WeiYang Zhang Kai Zhang Kuai Xu
Copyright Year	2015
Description	Author affiliation: Sch. of Electron. & Comput. Eng. (SECE), Shenzhen Key Lab. for Cloud Comput. Technol. & Applic., Peking Univ., Shenzhen, China (Kai Lei; WeiYang Zhang; Kai Zhang) \|\| Sch. of Math. & Natural Sci., Arizona State Univ., Tempe, AZ, USA (Kuai Xu)
Abstract	Sina Weibo, a Twitter-like microblogging site attracting over 240 million monthly active users to tweet, retweet, and comment, has rapidly become one of the most popular social media sites in China. As many users create new and innovative words on their tweets and comments, it is necessary to extract these emerging words, which do not exist in today's Chinese vocabulary or dictionary. Towards this end, this paper proposes a novel method based on data clustering of Weibo users and tweets for extracting unknown words from Weibo tweets and comments. Specifically, relying on the similarity of the users who post the tweets, we apply a hierarchical clustering to divide Weibo data into distinct groups, e.g., sports, news stories, movies, before extraction. Comparing with the method of unclustered Weibo data, our experimental results have successfully demonstrated the benefits of the proposed data clustering scheme for improving the recall and accuracy of extracting unknown Chinese words from tweets and comments.
Starting Page	1182
Ending Page	1187
File Size	450445
Page Count	6
File Format	PDF
e-ISBN	9781467364324
DOI	10.1109/ICC.2015.7248483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Context Data mining Clustering algorithms Social network services Clustering methods Couplings
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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