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IJCNLP
2005
Springer
9 years 3 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii
AIR
2006
152views more  AIR 2006»
8 years 10 months ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
ICDIM
2009
IEEE
8 years 8 months ago
Are SentiWordNet scores suited for multi-domain sentiment classification?
Motivated by the numerous applications of analysing opinions in multi-domain scenarios, this paper studies the potential of a still rarely considered approach to the problem of mu...
Kerstin Denecke
CI
2006
101views more  CI 2006»
8 years 10 months ago
Sentiment Classification of Movie Reviews Using Contextual Valence Shifters
We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect...
Alistair Kennedy, Diana Inkpen
IRCDL
2008
8 years 11 months ago
A New Machine Learning Based Approach for Sentiment Classification of Italian documents
Several sites allow users to publish personal reviews about products and services available on the market. In this paper, we consider the problem of applying classification techniq...
Paolo Casoto, Antonina Dattolo, Paolo Omero, Nirma...
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