Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Emotion Classification Using Web Blog Corpora
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Building emotion lexicon from weblog corpora
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Machine-made index for technical literature: an experiment
IBM Journal of Research and Development
Text representation using dependency tree subgraphs for sentiment analysis
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Using key sentence to improve sentiment classification
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Image and Vision Computing
Bootstrapping polarity classifiers with rule-based classification
Language Resources and Evaluation
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Two psycholinguistic and psychophysical experiments show that in order to efficiently extract polarity of written texts such as customer-reviews on the Internet, one should concentrate computational efforts on messages in the final position of the text.