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» Sentiment Mining Using Ensemble Classification Models
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IALP
2010
12 years 11 months ago
Multiple Factors-Based Opinion Retrieval and Coarse-to-Fine Sentiment Classification
With more and more reviews on the web, browsing through a mass of the related reviews becomes a heavy work. How to effectively analyzing and organizing these reviews attracts more...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
WWW
2010
ACM
13 years 5 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...
ACL
2010
13 years 2 months ago
Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification
In this paper, we adopt two views, personal and impersonal views, and systematically employ them in both supervised and semi-supervised sentiment classification. Here, personal vi...
Shoushan Li, Chu-Ren Huang, Guodong Zhou, Sophia Y...
KDD
2009
ACM
262views Data Mining» more  KDD 2009»
14 years 5 months ago
Sentiment analysis of blogs by combining lexical knowledge with text classification
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
Prem Melville, Wojciech Gryc, Richard D. Lawrence
ECAI
2010
Springer
13 years 6 months ago
Multi Grain Sentiment Analysis using Collective Classification
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
S. Shivashankar, B. Ravindran