Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
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
Computational Linguistics
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Morpheme-based derivation of bipolar semantic orientation of Chinese words
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
From words to senses: a case study of subjectivity recognition
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Exploiting subjectivity classification to improve information extraction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
SemEval-2010 task 18: Disambiguating sentiment ambiguous adjectives
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Sentiment tagging of adjectives at the meaning level
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Set-Similarity joins based semi-supervised sentiment analysis
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
Rule-based opinion target and aspect extraction to acquire affective knowledge
Proceedings of the 22nd international conference on World Wide Web companion
Revised mutual information approach for german text sentiment classification
Proceedings of the 22nd international conference on World Wide Web companion
SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives
Language Resources and Evaluation
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Dynamic sentiment ambiguous adjectives (DSAAs) like "large, small, high, low" pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method to automatically determine the semantic orientation of DSAAs within context. The task is reduced to sentiment classification of target nouns, which we refer to sentiment expectation instead of semantic orientation widely used in previous researches. We mine the Web using lexico-syntactic patterns to infer sentiment expectation of nouns, and then exploit character-sentiment model to reduce noises caused by the Web data. At sentence level, our method achieves promising result with an f-score of 78.52% that is substantially better than baselines. At document level, our method outperforms previous work in sentiment classification of product reviews.