Toward a Corpus of Cantonese Verbal Comments and their Classification by Multi-dimensional Analysis
نویسنده
چکیده
The information explosion in modern days across various media calls for effective opinion mining for timely digestion of public views and appropriate follow-up actions. Current studies on sentiment analysis have primarily focused on uncovering aspects like subjectivity, sentiment and credibility from written data, while spoken data are less addressed. This paper reports on our pilot work on constructing a corpus of Cantonese verbal comments and making use of multidimensional analysis to characterise different opinion types therein. Preliminary findings on the dimensions identified and their association with various communicative functions are presented, with an outlook on their potential application in subjectivity analysis and opinion classification.
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تاریخ انتشار 2015