Chinese Microblog Topic Detection through POS-Based Semantic Expansion
A microblog is a new type of social media for information publishing, acquiring, and spreading. Finding the significant topics of a microblog is necessary for popularity tracing and public opinion following. This paper puts forward a method to detect topics from Chinese microblogs. Since traditional...
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doaj-fc974d2f1df242548c4c56cf133e00a32020-11-25T00:11:35ZengMDPI AGInformation2078-24892018-08-019820310.3390/info9080203info9080203Chinese Microblog Topic Detection through POS-Based Semantic ExpansionLianhong Ding0Bin Sun1Peng Shi2School of Information, Beijing Wuzi University, Beijing 101149, ChinaSchool of Information, Beijing Wuzi University, Beijing 101149, ChinaNational Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, ChinaA microblog is a new type of social media for information publishing, acquiring, and spreading. Finding the significant topics of a microblog is necessary for popularity tracing and public opinion following. This paper puts forward a method to detect topics from Chinese microblogs. Since traditional methods showed low performance on a short text from a microblog, we put forward a topic detection method based on the semantic description of the microblog post. The semantic expansion of the post supplies more information and clues for topic detection. First, semantic features are extracted from a microblog post. Second, the semantic features are expanded according to a thesaurus. Here TongYiCi CiLin is used as the lexical resource to find words with the same meaning. To overcome the polysemy problem, several semantic expansion strategies based on part-of-speech are introduced and compared. Third, an approach to detect topics based on semantic descriptions and an improved incremental clustering algorithm is introduced. A dataset from Sina Weibo is employed to evaluate our method. Experimental results show that our method can bring about better results both for post clustering and topic detection in Chinese microblogs. We also found that the semantic expansion of nouns is far more efficient than for other parts of speech. The potential mechanism of the phenomenon is also analyzed and discussed.http://www.mdpi.com/2078-2489/9/8/203Chinese microblogssemantic expansionshort texttopic detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lianhong Ding Bin Sun Peng Shi |
spellingShingle |
Lianhong Ding Bin Sun Peng Shi Chinese Microblog Topic Detection through POS-Based Semantic Expansion Information Chinese microblogs semantic expansion short text topic detection |
author_facet |
Lianhong Ding Bin Sun Peng Shi |
author_sort |
Lianhong Ding |
title |
Chinese Microblog Topic Detection through POS-Based Semantic Expansion |
title_short |
Chinese Microblog Topic Detection through POS-Based Semantic Expansion |
title_full |
Chinese Microblog Topic Detection through POS-Based Semantic Expansion |
title_fullStr |
Chinese Microblog Topic Detection through POS-Based Semantic Expansion |
title_full_unstemmed |
Chinese Microblog Topic Detection through POS-Based Semantic Expansion |
title_sort |
chinese microblog topic detection through pos-based semantic expansion |
publisher |
MDPI AG |
series |
Information |
issn |
2078-2489 |
publishDate |
2018-08-01 |
description |
A microblog is a new type of social media for information publishing, acquiring, and spreading. Finding the significant topics of a microblog is necessary for popularity tracing and public opinion following. This paper puts forward a method to detect topics from Chinese microblogs. Since traditional methods showed low performance on a short text from a microblog, we put forward a topic detection method based on the semantic description of the microblog post. The semantic expansion of the post supplies more information and clues for topic detection. First, semantic features are extracted from a microblog post. Second, the semantic features are expanded according to a thesaurus. Here TongYiCi CiLin is used as the lexical resource to find words with the same meaning. To overcome the polysemy problem, several semantic expansion strategies based on part-of-speech are introduced and compared. Third, an approach to detect topics based on semantic descriptions and an improved incremental clustering algorithm is introduced. A dataset from Sina Weibo is employed to evaluate our method. Experimental results show that our method can bring about better results both for post clustering and topic detection in Chinese microblogs. We also found that the semantic expansion of nouns is far more efficient than for other parts of speech. The potential mechanism of the phenomenon is also analyzed and discussed. |
topic |
Chinese microblogs semantic expansion short text topic detection |
url |
http://www.mdpi.com/2078-2489/9/8/203 |
work_keys_str_mv |
AT lianhongding chinesemicroblogtopicdetectionthroughposbasedsemanticexpansion AT binsun chinesemicroblogtopicdetectionthroughposbasedsemanticexpansion AT pengshi chinesemicroblogtopicdetectionthroughposbasedsemanticexpansion |
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