SentiFul: Generating a reliable lexicon for sentiment analysis

The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with...

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Bibliographic Details
Published in2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops pp. 1 - 6
Main Authors Neviarouskaya, A., Prendinger, H., Ishizuka, M.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.09.2009
Subjects
Clustering algorithms
Data mining
Informatics
Machine learning
Machine learning algorithms
Mutual information
Scalability
Spatial databases
Tagging
Target recognition
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Summary:The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with known lexical units. We propose to distinguish four types of affixes (used to derive new words) depending on the role they play with regard to sentiment features: propagating, reversing, intensifying, and weakening.
ISBN:9781424448005
142444800X
ISSN:2156-8103
DOI:10.1109/ACII.2009.5349575