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Papers in this group

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  1. Recently, there has been considerable interest in the recognition of affect from written and spoken language. We developed a computer system that implements a semantic approach to lexical affect sensing. This system analyses English sentences…
  2. In this paper, we present AFFIMO (AFFInities and eMO- tions), a first attempt to develop an open-source system to detect user’s emotions and affinities from sentences in natural language. AFFIMO integrates a lexical analysis based on SentiWordNet…
  3. A set of approximately 500 words taken from the literature an emotion was examined. The overall goal was to develop a comprehensive taxonomy of the affective lexicon, with special attention being devoted to the isolation of terms that refer to…
  4. This paper describes the National Research Council of Canada's submission to the 2011 i2b2 NLP challenge on the detection of emotions in suicide notes. In this task, each sentence of a suicide note is annotated with zero or more emotions, making it…
  5. Negation, intensifiers, and modality are common linguistic constructions that may modify the emotional meaning of the text and therefore need to be taken into consideration in sentiment analysis. Negation is usually considered as a polarity shifter,…
  6. Facial displays are key for communicating emotions in face to face conversation and can be made simultaneously with speech. However most collaborative virtual environments force the user to explicitly set avatar emotions after they have entered text…
  7. We present an approach to automatically generate a word-emotion lexicon based on a smaller human-annotated lexicon. To identify associated feelings of a target word (a word being considered for inclusion in the lexicon), our proposed approach uses…
  8. Real-time contextual and metaphorical affect sensing from open-ended multithreaded dialogue is challenging but essential for the building of effective intelligent user interfaces. In this paper, we focus on context-based affect detection using…
  9. A huge number of informal messages are posted every day insocial network sites,blogs,anddiscussion forums. Emotions seem to be frequently important in these texts for expressing friendship, showing social support or as part of online arguments.…
  10. We report new developments on affect detection from textual metaphorical affective expression and affect sensing from speech. The textual affect detection component has been embedded in an intelligent conversational AI agent interacting with human…
  11. News is not simply a straight re-telling of events, but rather an interpretation of those events by a reporter, whose feelings and opinions can often become part of the story itself. Research on automatic summarization of news articles has thus far…
  12. Short films are regarded as an alternative form of artistic creation, and they express, in a few minutes, a whole gamma of different emotions oriented to impact the audience and communicate a story. In this paper, we exploit a multi-modal sentiment…
  13. Social media services have become increasingly popular and their penetration is worldwide. Micro-blogging services, such as Twitter, allow users to express themselves, share their emotions and discuss their daily life affairs in real-time, covering…
  14. The ANR EmotiRob project aims at detecting emotions in an original application context: realizing an emotional companion robot for weakened children. This paper presents a system which aims at characterizing emotions by only considering the…
  15. Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide range of fields such as business and politics. People…
  16. We describe a set of experiments using automatically labelled data to train supervised classifiers for multi-class emotion detection in Twitter messages with no manual intervention. By cross-validating between models trained on different labellings…
  17. This study discusses the computational analysis of general emotion understanding from questionnaires methodology. The questionnaires method approaches the subject by investigating the real experience that accompanied the emotions, whereas the other…