A Study of Based on Suffix Array Technology to Identify Network Hot Topic

Yuan Fang; Qi Feng Che

doi:10.4028/www.scientific.net/AMR.1049-1050.1550

Paper Titles

An Efficient Ear Recognition Method from Two-Dimensional Images
p.1531

Body Sensor Network Processing Mechanism for Micro-Data Security Publishing
p.1536

A Method of Chinese Text Detecting Errors Based on Recognition Errors by OCR
p.1540

Automatic Term Recognition Using Hybrid Method Based on Rewriting and Statistic
p.1544

A Study of Based on Suffix Array Technology to Identify Network Hot Topic
p.1550

Research of Riveting Structure Identification and Characteristic Parameter Analysis Based on SVM
p.1554

A Study of Recognition Algorithms of Large-Scale Image Based on the Fusion of SIFT Features and BP Neutral Network
p.1558

Moving Object Detection Based on Improved Background Updating Method for Gaussian Mixture Model
p.1561

Using Prior Knowledge for Community Detection by Label Propagation Algorithm
p.1566

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050A Study of Based on Suffix Array Technology to...

A Study of Based on Suffix Array Technology to Identify Network Hot Topic

Abstract:

This paper introduces suffix array method, the basic concepts, and cooperate with the longest suffix group public prefix array constructor, suffix array is constructed using multiplication algorithm, based on suffix array technology, has realized the extraction of multiple essay in this string of LCS, and then identify network hot topic, and then through the suffix array to assist in monitoring the essay in this cluster after all kinds of hot topic.

You might also be interested in these eBooks

Modern Technologies in Materials, Mechanics and Intelligent Systems

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1550-1553

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1550

Citation:

Cite this paper

Online since:

October 2014

Authors:

Yuan Fang*, Qi Feng Che

Keywords:

Public Opinion Monitoring, Short Text, Suffix Array

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] He H ，Chen B，Xu W R，Guo J．Short text feature extraction and clustering for web topic mining[EB/OL]．Proceeding of the 3rd International Conference on Semantics，Knowledge and Grid．Washington D．C，USA: IEEE，2007：382~385.

DOI: 10.1109/skg.2007.76

Google Scholar

[2] KinS，Hovy E．Determining the sentiment of opinions[C]．Proceedings of COLING 04，the Conference on Computational Linguistics(COLING2004)．Geneva, Switz erland: 2004，1367~1373.

Google Scholar

[3] ICTCLAS2011 [EB/OL]. http: /ictclas. org．2011.

Google Scholar

[4] LIUB， HUM，CHENG J． Opinion observer: Analyzing and comparing opinions on the Web[C]/ Proceedings of the 14th International Conference on World Wide Web: WWW 200． New York: ACM Press, 2005: 342 – 351.

DOI: 10.1145/1060745.1060797

Google Scholar

[5] Hatzivassiloglou V，McKeown K R．Predicting the semantic orientation of djectives[J]．In Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics. Morristown，NJ，USA: Association for Computational Linguistics：174~181.

DOI: 10.3115/979617.979640

Google Scholar

[6] Zhu Yan lan，Min Jin，Zhou Ya qian，etal Semantic orientationcom puting based on how net[J]．Journal of Ch inese Information　Processing．2006，20(1): 14~20.

Google Scholar