Title :
Tibetan Sentence Sentiment Analysis Based on the Maximum Entropy Model
Author :
Xiaodong Yan;Tao Huang
Author_Institution :
Sch. of Inf. Eng., Minzu Univ. of China, Beijing, China
Abstract :
In this paper, the Tibetan sentence sentiment analysis is done by learning from the Chinese and English sentiment analysis based on statistical method. We established the Tibetan sentence sentiment analysis system based on the maximum entropy model, and we test this system. Results show that the evaluation parameter is good and it can achieve practicability to some extent.
Keywords :
"Entropy","Sentiment analysis","Analytical models","Training","Feature extraction","Dictionaries","Computational modeling"
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2015 10th International Conference on
DOI :
10.1109/BWCCA.2015.32