Title :
Web-Based Analysis of Chinese Discourse Markers for Opinion Mining
Author :
Hen Hsen Huang ; Chi Hsin Yu ; Tai Wei Chang ; Cong Kai Lin ; Hsin Hsi Chen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
Discourse markers not only express some sorts of relations between two arguments, but also entail sentiment information. In this paper, we investigate the associations between the relation type and the sentiment polarity of Chinese discourse markers based on a web scale corpus. We present an approach to mining information from a large scale corpus, show the polarity distributions of sentences under various relation types, and interpret the data from various aspects. Based on the massive amount of data from the Internet, certain language phenomena are shown.
Keywords :
Internet; data mining; natural language processing; Chinese discourse markers; Internet; Web scale corpus; Web-based analysis; information mining; language phenomena; large scale corpus; opinion mining; relation type; sentence polarity distributions; sentiment information; sentiment polarity; Correlation; Data mining; Dictionaries; Knowledge engineering; Pragmatics; Reliability; Sentiment analysis; Chinese Discourse Analysis; Discourse Relation Labeling; Sentiment Analysis;
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Warsaw
DOI :
10.1109/WI-IAT.2014.84
