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» Learning to identify emotions in text
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AI
2009
Springer
14 years 25 days ago
Opinion Learning without Emotional Words
This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results show the practical uti...
Marina Sokolova, Guy Lapalme
ACII
2007
Springer
14 years 13 days ago
Assessing Sentiment of Text by Semantic Dependency and Contextual Valence Analysis
Text is not only an important medium to describe facts and events, but also to effectively communicate information about the writer’s (positive or negative) sentiment underlying ...
Shaikh Mostafa Al Masum, Helmut Prendinger, Mitsur...
AI
2011
Springer
12 years 9 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
82views Education» more  LREC 2008»
13 years 7 months ago
An eRulemaking Corpus: Identifying Substantive Issues in Public Comments
We describe the creation of a corpus that supports a real-world hierarchical text categorization task in the domain of electronic rulemaking (eRulemaking). Features of the task an...
Claire Cardie, Cynthia Farina, Matt Rawding, Adil ...
IUI
2005
ACM
13 years 11 months ago
Emotive alert: HMM-based emotion detection in voicemail messages
Voicemail has become an integral part of our personal and professional communication. The number of messages that accumulate in our voice mailboxes necessitate new ways of priorit...
Zeynep Inanoglu, Ron Caneel