Determining the emotion of news articles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4114 LNAI - II, Issue , 2006, Pages 918-923

  Bracewell, David B ^a   Minato, Junko ^a   Ren, Fuji ^a,b   Kuroiwa, Shingo ^a  

^a UNIVERSITY OF TOKUSHIMA   (Japan)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER SCIENCE; TEXT PROCESSING; WORD PROCESSING;

EMOTION DETERMINATION; EMOTIONS; IDIOMS; NEWS ARTICLES;

PATTERN RECOGNITION SYSTEMS;

EID: 33749575585     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-37275-2_115     Document Type: Conference Paper

References (5)

1. Cook, T.E.: Governing With the News: The News Media as a Political Institution. University of Chicago Press (1998)
2. Alm, C., Roth, D., Sproat, R.: Emotions from Text: Machine Learning for Textbased Emotion Prediction. In: Proceedings of HLT/EMNLP 2005. (2005)
3. Chambers, N., Tetreault, J., Allen, J.: Approaches for Automatically Tagging Affect. In: Proceedings AAAI Symposium of Exploring Affect and Attitude in Text. (2004)
4. Holzman, L.E., Pottenger, W.M.: Classification of Emotions in Internet Chat: An Application of Machine Learning Using Speech Phonemes. Technical report, Lehigh University (2003)
5. Miller, G.: Wordnet: A Lexical Database for English. Communications of the ACM 38 (1995) 39-41