@inproceedings{9120608715734ba19011acb02d9352d2,
title = "Sentic medoids: Organizing affective common sense knowledge in a multi-dimensional vector space",
abstract = "Existing approaches to opinion mining and sentiment analysis mainly rely on parts of text in which opinions and sentiments are explicitly expressed such as polarity terms and affect words. However, opinions and sentiments are often conveyed implicitly through context and domain dependent concepts, which make purely syntactical approaches ineffective. To overcome this problem, we have recently proposed Sentic Computing, a multi-disciplinary approach to opinion mining and sentiment analysis that exploits both computer and social sciences to better recognize and process opinions and sentiments over the Web. Among other tools, Sentic Computing includes AffectiveSpace, a language visualization system that transforms natural language from a linguistic form into a multi-dimensional space. In this work, we present a new technique to better cluster this vector space and, hence, better organize and reason on the affective common sense knowledge in it contained.",
keywords = "AI, Clustering, NLP, Opinion Mining and Sentiment Analysis, Semantic Web, Sentic Computing",
author = "Erik Cambria and Thomas Mazzocco and Amir Hussain and Chris Eckl",
year = "2011",
doi = "10.1007/978-3-642-21111-9\_68",
language = "English",
isbn = "9783642211102",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 3",
pages = "601--610",
booktitle = "Advances in Neural Networks - 8th International Symposium on Neural Networks, ISNN 2011",
edition = "PART 3",
note = "8th International Symposium on Neural Networks, ISNN 2011 ; Conference date: 29-05-2011 Through 01-06-2011",
}