A Clustering Algorithm towards Microblogs based on Vector Space Model
Guoyou Chen, Jiajia Miao, Handong Mao, Le Wang, Siyu Jiang
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.243How to use a DOI?
- microblogs clustering, k-means, vector space model
- Weibos have become wildly popular in China in recent years, and state media reports that there are more than 300 million registered users. The Real Name Policy requires all users on Chinese weibo websites to register with the name that corresponds with their government issued ID card. With the rapid development of the web, the research of consensus encounters new problems and challenges. Is a practical method for large-scale text clustering, instant messaging, text content analysis features, and find or track the social hot topics. Unlike the file, which is not suitable for very common clustering algorithm' A new method is proposed of the named MVSM synthesis microblogging dialogue, but also enriched the words of the vector is not included in the text of the blog, but existing content is closely related. Extended vector space this MVSM perform the dialogue, k-means clustering. Experiments on public datasets show better, MVSM than traditional k-means and kmeans algorithm into two
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Cite this article
TY - CONF AU - Guoyou Chen AU - Jiajia Miao AU - Handong Mao AU - Le Wang AU - Siyu Jiang PY - 2012/11 DA - 2012/11 TI - A Clustering Algorithm towards Microblogs based on Vector Space Model BT - 2012 National Conference on Information Technology and Computer Science PB - Atlantis Press SP - 955 EP - 958 SN - 1951-6851 UR - https://doi.org/10.2991/citcs.2012.243 DO - https://doi.org/10.2991/citcs.2012.243 ID - Chen2012/11 ER -