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EMNLP
2004
15 years 1 months ago
Sentiment Analysis using Support Vector Machines with Diverse Information Sources
This paper introduces an approach to sentiment analysis which uses support vector machines (SVMs) to bring together diverse sources of potentially pertinent information, including...
Tony Mullen, Nigel Collier
ASUNAM
2009
IEEE
15 years 6 months ago
Combining Social Network Analysis and Sentiment Analysis to Explore the Potential for Online Radicalisation
The increased online presence of jihadists has raised the possibility of individuals being radicalised via the Internet. To date, the study of violent radicalisation has focused o...
Adam Bermingham, Maura Conway, Lisa McInerney, Nei...
EMNLP
2011
13 years 11 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
EDM
2010
148views Data Mining» more  EDM 2010»
15 years 1 months ago
Sentiment Analysis in Student Experiences of Learning
In this paper we present an evaluation of new techniques for automatically detecting sentiment polarity (Positive or Negative) in the students responses to Unit of Study Evaluation...
Sunghwan Mac Kim, Rafael A. Calvo
LREC
2008
143views Education» more  LREC 2008»
15 years 1 months ago
Building Affective Lexicons from Specific Corpora for Automatic Sentiment Analysis
Automatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative...
Yves Bestgen