Title :
A Method for Tibetan Text Orientation Identification
Author_Institution :
Minzu Univ. of China, Beijing, China
Abstract :
In this study, we research on Tibetan text orientation identification. We proposed a method that the sentence orientation is determined by the orientation of words in this sentence and the orientation of text is determined by the orientation of sentences in this text. First, according to the Tibetan context and life characteristics, combined with a set of emotional words in Hownet, the Tibetan emotional word dictionary is built, and then by the Tibetan word semantic similarity calculation method we extend this dictionary to get rich emotional word set. By our research the Tibetan hotspot information can be rapidly detected and found and then the public opinion tend can be track quickly. It is benefit for positive guidance of public opinion.
Keywords :
natural language processing; text analysis; Hownet; Tibetan context; Tibetan emotional word dictionary; Tibetan hotspot information; Tibetan text orientation identification; Tibetan word semantic similarity calculation method; life characteristics; public opinion; sentence orientation; word orientation; Blogs; Context; Data mining; Dictionaries; Feature extraction; Semantics; Web pages; emotional dictionary; orientation recognition; semantic ontology;
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on
Conference_Location :
Guangdong
Print_ISBN :
978-1-4799-4174-2
DOI :
10.1109/BWCCA.2014.85