Exploration of dimensionality reduction for text visualization
*** Abstract: In the text document visualization community, statistical analysis tools (e.g., principal component analysis and multidimensio...
WordNet-Affect: an Affective Extension of WordNet
*** Abstract: In this paper we present a linguistic resource for the lexical representation of affective knowledge. This resource (named WO...
Subspace clustering for high dimensional data: a review
*** Abstract: Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a data...
Measuring praise and criticism: Inference of semantic orientation from association
*** Abstract: The evaluative character of a word is called its semantic orientation. Positive semantic orientation indicates praise (e.g., ...
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
*** Abstract: This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recomme...
Thumbs up? Sentiment Classification using Machine Learning Techniques
*** Abstract: We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is...
Predicting the Semantic Orientation of Adjectives
*** Abstract: We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of...
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