NDLI: Modelling Context to Solve Conflicts in SentiWordNet

Content Provider	IEEE Xplore Digital Library
Author	Serban, O. Pauchet, A. Rogozan, A. Pecuchet, J.-P.
Copyright Year	2013
Description	Author affiliation: LITIS Lab., INSA de Rouen, St. Etienne-du-Rouvray, France (Serban, O.; Pauchet, A.; Rogozan, A.; Pecuchet, J.-P.)
Abstract	Sentiment analysis and affect detection algorithms are generally based on annotated data, structured into dictionaries, ontologies or word nets. Among other research problems, two issues are considered very important in this field: 1) word sense disambiguation and 2) accuracy of affect detection. Most of the current approaches use annotated resources based on word nets. Their structure, founded on synonymic relations, makes the disambiguation process very difficult. Our model uses contextonyms, which simplify the decision process. Therefore, the disambiguation issue is transformed into a context matching problem. The second focus is on the manual annotation of the data followed by a semantic valence propagation. This approach enables the generation of new affective labels from a set of initial ones, through the expansion process. Unfortunately, this is usually done to the detriment of precision. We use an existing linguistic resource, SentiWordNet, which is one of the largest dictionaries available for sentiment analysis. Using our disambiguation model, we manage to solve all the SentiWordNet ambiguities and inconsistencies, which increases the accuracy of the classification process. This is the first of our major contributions. Second, we manage to reduce the disagreement percentage computed against well known linguistic resources to less than half of the original rate.
Starting Page	393
Ending Page	398
File Size	475031
Page Count	6
File Format	PDF
ISBN	9780769550480
ISSN	21568111
DOI	10.1109/ACII.2013.71
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-02
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Heart Dictionaries Accuracy Semantics Context modeling Pragmatics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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