Topic Research with Semantics

Article Preview

Abstract:

This study is a broadly review on the literatures from science citation index expanded (SCI-EXPANED) database, concerning topic research with semantic. The result indicates that the number of literature productions on this topic reaches climax of 4 in publication year 2012 and then followed by 2011 and 2007 of three papers respectively. The main research development country is China, and from the analysis of document type, articles accounts for 80%. Computer science acts as the main source title of this research. In general, the related research can be classified into application research and theory research. Multimedia, electronic document and general application are explored in application field, meanwhile text analysis, passage segmentation and semantic clustering are the main topics in theory research.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

763-767

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Guinaudeau Camille; Gravier Guillaume; Sebillot Pascale. Enhancing lexical cohesion measure with confidence measures, semantic relations and language model interpolation for multimedia spoken content topic segmentation. COMPUTER SPEECH AND LANGUAGE, 2012; 26(2): 90-104.

DOI: 10.1016/j.csl.2011.06.002

Google Scholar

[2] He Tingting; Li Fang. Semantic Knowledge Acquisition from Blogs with Tag-Topic Model. CHINA COMMUNICATIONS, 2012; 9(3): 38-48.

Google Scholar

[3] Daud Ali. Using time topic modeling for semantics-based dynamic research interest finding. KNOWLEDGE-BASED SYSTEMS, 2012; 26: 154-163.

DOI: 10.1016/j.knosys.2011.07.015

Google Scholar

[4] Santos Igor; Laorden Carlos; Sanz Borja; et al. Enhanced Topic-based Vector Space Model for semantics-aware spam filtering. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39(1): 437-444.

DOI: 10.1016/j.eswa.2011.07.034

Google Scholar

[5] Kong Sheng-Yi; Lee Lin-Shan. Semantic Analysis and Organization of Spoken Documents Based on Parameters Derived From Latent Topics. IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2011, 19(7): 1875-1889.

DOI: 10.1109/tasl.2010.2102592

Google Scholar

[6] Zeng Jianping; Duan Jiangjiao; Wang Wei; et al. Semantic multi-grain mixture topic model for text analysis. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38(4): 3574-3579.

DOI: 10.1016/j.eswa.2010.08.146

Google Scholar

[7] Liao Xiaofeng; Wang Yongji; Ding Liping; et al. EXTENDED PROBABILISTIC LATENT SEMANTIC ANALYSIS MODEL FOR TOPICS IN TIME-STAMPED IMAGES. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2011, 17(7): 983-995.

DOI: 10.1080/10798587.2011.10643204

Google Scholar

[8] Ginter Filip; Suominen Hanna; Pyysalo Sampo; et al. Combining hidden Markov models and latent semantic analysis for topic segmentation and labeling: Method and clinical application. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2009, 78(12): E1-E6.

DOI: 10.1016/j.ijmedinf.2009.02.003

Google Scholar

[9] Oh Hyo-Jung; Myaeng Sung Hyon; Jang Myung-Gil. Semantic passage segmentation based on sentence topics for question answering. INFORMATION SCIENCES, 2007, 177(18): 3696-3717.

DOI: 10.1016/j.ins.2007.02.038

Google Scholar

[10] Griffiths Thomas L.; Steyvers Mark; Tenenbaum Joshua B. Topics in semantic representation. PSYCHOLOGICAL REVIEW, 2007, 114(2): 211-244.

DOI: 10.1037/0033-295x.114.2.211

Google Scholar

[11] Kuhn Adrian; Ducasse Stephane; Girba Tudor. Semantic clustering: Identifying topics in source code. INFORMATION AND SOFTWARE TECHNOLOGY, 2007, 49(3): 230-243.

DOI: 10.1016/j.infsof.2006.10.017

Google Scholar

[12] Ayache Stephane; Quenot Georges; Gensel Jerome; et al. Using topic concepts for semantic video shots classification. LECTURE NOTES IN COMPUTER SCIENCE, 2006, 4071: 300-309.

DOI: 10.1007/11788034_31

Google Scholar

[13] Wu Xiaoyuan; Huang Shen; Zhang Jie; et al. Hierarchical topic term extraction for Semantic annotation in Chinese bulletin board system. LECTURE NOTES IN COMPUTER SCIENCE, 2006, 4185: 30-43.

DOI: 10.1007/11836025_4

Google Scholar