WordNet: a lexical database for English
Communications of the ACM
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Extracting semantic orientations of words using spin model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
SemEval-2007 task 14: affective text
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CLaC and CLaC-NB: knowledge-based and corpus-based approaches to sentiment tagging
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Enhancing the Japanese WordNet
ALR7 Proceedings of the 7th Workshop on Asian Language Resources
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Emotions evoked by common words and phrases: using mechanical turk to create an emotion lexicon
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Creating subjective and objective sentence classifiers from unannotated texts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Emotions in words: developing a multilingual wordnet-affect
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Affect analysis in context of characters in narratives
Expert Systems with Applications: An International Journal
Sentimantics: conceptual spaces for lexical sentiment polarity representation with contextuality
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Chinese emotion lexicon developing via multi-lingual lexical resources integration
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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This paper reports the development of Japanese WordNet Affect from the English WordNet Affect lists with the help of English SentiWordNet and Japanese WordNet. Expanding the available synsets of the English WordNet Affect using SentiWordNet, we have performed the translation of the expanded lists into Japanese based on the synsetIDs in the Japanese WordNet. A baseline system for emotion analysis of Japanese sentences has been developed based on the Japanese WordNet Affect. The incorporation of morphology improves the performance of the system. Overall, the system achieves average precision, recall and F-scores of 32.76%, 53% and 40.49% respectively on 89 sentences of the Japanese judgment corpus and 83.52%, 49.58% and 62.22% on 1000 translated Japanese sentences of the SemEval 2007 affect sensing test corpus. Different experimental outcomes and morphological analysis suggest that irrespective of the google translation error, the performance of the system could be improved by enhancing the Japanese WordNet Affect in terms of coverage.