Topic Detection Research Based on Multi-Models

Autor:	Dong Zhang, Su Xiang Zhang, Su Xian Zhang, Lin Yan Xie, Bing Zhen Zhao
Rok vydání:	2015
Předmět:	Computer science business.industry Pattern recognition General Medicine computer.software_genre Bayesian inference Similarity (network science) Content (measure theory) Research based Data mining Artificial intelligence Cluster analysis business computer
Zdroj:	Applied Mechanics and Materials. 740:866-870
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.740.866
Popis:	In this paper, a novel approach was proposed for the topic detection which combined the multi-models. We paid attention to the content similarity, time similarity and location similarity respectively, at the same time, the Bayesian model also was researched and the atomic characteristics words were extracted. Combined the expert knowledge and multi-models, the experiment was completed and the experimental results show that the approach is effective.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f8440cb6476595c3b2332ef7647a7a34 https://doi.org/10.4028/www.scientific.net/amm.740.866 Zobrazit plný text záznamu