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» Using a Heterogeneous Dataset for Emotion Analysis in Text
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AI
2011
Springer
12 years 8 months ago
Using a Heterogeneous Dataset for Emotion Analysis in Text
In this paper, we adopt a supervised machine learning approach to recognize six basic emotions (anger, disgust, fear, happiness, sadness and surprise) using a heterogeneous emotion...
Soumaya Chaffar, Diana Inkpen
LREC
2008
89views Education» more  LREC 2008»
13 years 6 months ago
Sentiment Analysis and the Use of Extrinsic Datasets in Evaluation
The field of automated sentiment analysis has emerged in recent years as an exciting challenge to the computational linguistics community. Research in the field investigates how e...
Ann Devitt, Khurshid Ahmad
CSCW
2008
ACM
13 years 6 months ago
The language of emotion in short blog texts
Emotion is central to human interactions, and automatic detection could enhance our experience with technologies. We investigate the linguistic expression of fine-grained emotion ...
Alastair J. Gill, Robert M. French, Darren Gergle,...
LREC
2010
272views Education» more  LREC 2010»
13 years 6 months ago
Automatic Annotation of Word Emotion in Sentences Based on Ren-CECps
Textual information is an important communication medium contained rich expression of emotion, and emotion recognition on text has wide applications. Word emotion analysis is fund...
Changqin Quan, Fuji Ren
ACL
2010
13 years 2 months ago
Mood Patterns and Affective Lexicon Access in Weblogs
The emergence of social media brings chances, but also challenges, to linguistic analysis. In this paper we investigate a novel problem of discovering patterns based on emotion an...
Thin Nguyen