Title :
A dynamic adjustment algorithm research of sentiment word weight based on context
Author :
Xu Ye-qiang ; Zhu Yan-hui ; Wen-hua, Wang ; Gao Li-chun
Author_Institution :
Inst. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
Abstract :
The emotion tendency of sentiment word is divided into two types: static emotion tendency and dynamic emotion tendency. Basic semantic lexicon is static emotion tendency, in the real context, but it is different between static emotion tendency and dynamic emotion tendency. The paper proposes a method based on degree lexicon, negative lexicon and dependence relationship of sentence elements. The experimental results show dynamic emotion tendency even more reflects text emotion tendency and get best performance in text sentiment classification.
Keywords :
text analysis; dynamic adjustment algorithm research; dynamic emotion tendency; sentiment word weight; static emotion tendency; text emotion tendency; text sentiment classification; Buildings; Computers; Context; Data mining; Feature extraction; Heuristic algorithms; Semantics; dynamic adjustment algorithm of sentiment word weight; dynamic emotion tendency; sentiment classification; static emotion tendency;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5764236
