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» The Importance of Neutral Examples for Learning Sentiment
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CI
2006
69views more  CI 2006»
13 years 4 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
JIDM
2010
90views more  JIDM 2010»
12 years 11 months ago
A Context-Dependent Supervised Learning Approach to Sentiment Detection in Large Textual Databases
Sentiment detection automatically identifies emotions in textual data. The increasing amount of emotive documents available in corporate databases and on the World Wide Web calls f...
Albert Weichselbraun, Stefan Gindl, Arno Scharl
EMNLP
2009
13 years 2 months ago
Sentiment Analysis of Conditional Sentences
This paper studies sentiment analysis of conditional sentences. The aim is to determine whether opinions expressed on different topics in a conditional sentence are positive, nega...
Ramanathan Narayanan, Bing Liu, Alok N. Choudhary
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 5 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman
KDD
2009
ACM
262views Data Mining» more  KDD 2009»
14 years 5 months ago
Sentiment analysis of blogs by combining lexical knowledge with text classification
The explosion of user-generated content on the Web has led to new opportunities and significant challenges for companies, that are increasingly concerned about monitoring the disc...
Prem Melville, Wojciech Gryc, Richard D. Lawrence