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Recognition of Affect, Judgment, and Appreciation in Text
The main task we address in our research is classification of text using fine-grained attitude labels. The developed @AM system relies on the compositionality principle and a novel approach based onExpand
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SentiFul: A Lexicon for Sentiment Analysis
In this paper, we describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy and antonymy relations, hyponymy relations,Expand
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Affect Analysis Model: novel rule-based approach to affect sensing from text
In this paper, we address the tasks of recognition and interpretation of affect communicated through text messaging in online communication environments. Specifically, we focus on Instant MessagingExpand
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Textual Affect Sensing for Sociable and Expressive Online Communication
In this paper, we address the tasks of recognition and interpretation of affect communicated through text messaging. The evolving nature of language in online conversations is a main issue in affectExpand
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SentiFul: Generating a reliable lexicon for sentiment analysis
The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon,Expand
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EmoHeart: Conveying Emotions in Second Life Based on Affect Sensing from Text
The 3D virtual world of "Second Life" imitates a form of real life by providing a space for rich interactions and social events. Second Life encourages people to establish or strengthen interpersonalExpand
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Semantically distinct verb classes involved in sentiment analysis
The paper describes a novel rule-based approach to classification of opinion statements on the level of individual sentences. In contrast to existing approaches, the proposed method relies on theExpand
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Compositionality Principle in Recognition of Fine-Grained Emotions from Text
The recognition of personal emotional state or sentiment conveyed through text is the main task we address in our research. The communication of emotions through text messaging and posts of personalExpand
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User study on AffectIM, an avatar-based Instant Messaging system employing rule-based affect sensing from text
報告番号: ; 学位授与年月日: 2008-03-24 ; 学位の種別: 修士 ; 学位の種類: 修士(情報理工学) ; 学位記番号: ; 研究科・専攻: 情報理工学系研究科電子情報学専攻
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Analysis of affect expressed through the evolving language of online communication
In this paper, we focus on affect recognition from text in order to facilitate sensitive and expressive communication in computer-mediated environments. Our model for analyzing affect conveyed byExpand
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