Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Web opinion poll: extracting people's view by impression mining from the web
Proceedings of the 14th ACM international conference on Information and knowledge management
Using a sentiment map for visualizing credibility of news sites on the web
Proceedings of the 2nd ACM workshop on Information credibility on the web
Fair news reader: recommending news articles with different sentiments based on user preference
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Design of impression scales for assessing impressions of news articles
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
A method for automatically generating the emotional vectors of emoticons using weblog articles
ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science
Filtering harmful sentences based on three-word co-occurrence
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Words-of-wisdom search based on multi-dimensional sentiment vector
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Improving a method for quantifying readers' impressions of news articles with a regression equation
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Automated content transformation with adjustment for visual presentation related to terminal types
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
User preference modeling based on interest and impressions for news portal site systems
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Grouping co-occurrence filtering based on bayesian filtering
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Words-of-wisdom search system based on user's desired sentiment
International Journal of Business Intelligence and Data Mining
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Each word in a language not only has its own explicit meaning, but also can convey various impressions. In this paper, we focus on the impressions people get from news articles, and propose a method for determining impressions of these news articles. Our proposed method consists of two main parts. One part involves building an “impression dictionary” that describes the relationships among words and impressions. The other part of the method involves determining impressions of input news articles using the impression dictionary. The impressions of a news article are represented as scale values in user-specified impression scales, like “sad – glad” and “angry – pleased”. Each scale value is a real number between 0 and 1, and is calculated from the words (common nouns, action nouns, verbs, adjectives, and katakana characters) extracted from an input news article using the impression dictionary.