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» Multi-domain Sentiment Classification
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ACL
2010
13 years 5 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
AAAI
2007
13 years 9 months ago
The Impact of Time on the Accuracy of Sentiment Classifiers Created from a Web Log Corpus
We investigate the impact of time on the predictability of sentiment classification research for models created from web logs. We show that sentiment classifiers are time dependen...
Kathleen T. Durant, Michael D. Smith
CI
2006
69views more  CI 2006»
13 years 7 months ago
The Importance of Neutral Examples for Learning Sentiment
Most research on learning to identify sentiment ignores "neutral" examples, learning only from examples of significant (positive or negative) polarity. We show that it i...
Moshe Koppel, Jonathan Schler
ICONFERENCE
2011
13 years 2 months ago
Comparing values and sentiment using Mechanical Turk
Human values can help to explain people’s sentiment toward current events. In this experiment, we compare people’s values with their agreement or disagreement with paragraphs ...
Thomas Clay Templeton, Kenneth R. Fleischmann, Jor...
IADIS
2009
13 years 5 months ago
Semantically distinct verb classes involved in sentiment analysis
The paper describes a novel rule-based approach to classification of opinion statements on the level of individual sentences. In contrast to existing approaches, the proposed meth...
Alena Neviarouskaya, Helmut Prendinger, Mitsuru Is...