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ECAI
2010
Springer
13 years 5 months ago
Multi Grain Sentiment Analysis using Collective Classification
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
S. Shivashankar, B. Ravindran
EMNLP
2009
13 years 2 months ago
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification
Polarity lexicons have been a valuable resource for sentiment analysis and opinion mining. There are a number of such lexical resources available, but it is often suboptimal to us...
Yejin Choi, Claire Cardie
SOCIALCOM
2010
12 years 11 months ago
Classification of Short Text Comments by Sentiment and Actionability for VoiceYourView
Much has been documented in the literature on sentiment analysis and document summarisation. Much of this applies to long structured text in the form of documents and blog posts. W...
William Simm, Maria Angela Ferrario, Scott Songlin...
ELPUB
2007
ACM
13 years 8 months ago
Automatic Sentiment Analysis in On-line Text
The growing stream of content placed on the Web provides a huge collection of textual resources. People share their experiences on-line, ventilate their opinions (and frustrations...
Erik Boiy, Pieter Hens, Koen Deschacht, Marie-Fran...
LREC
2010
126views Education» more  LREC 2010»
13 years 6 months ago
Predictive Features for Detecting Indefinite Polar Sentences
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
Michael Wiegand, Dietrich Klakow