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Papers in this group

1 - 20 of 355
  1. Emotions have a high impact in productivity, task quality, creativity, group rapport and job satisfaction. In this work we use lexical sentiment analysis to study emotions expressed in commit comments of different open source projects and analyze…
  2. User-generated content is a growing source of valuable information and its analysis can lead to a better understanding of the users needs and trends. In this paper, we leverage user feedback about YouTube videos for the task of affective video…
  3. Sentiment analysis of online documents such as news articles, blogs and microblogs has received increasing attention in recent years. In this article, we propose an efficient algorithm and three pruning strategies to automatically build a word-level…
  4. The rapid development of social media services has facilitated the communication of opinions through online news, blogs, microblogs/tweets, instant-messages, and so forth. This article concentrates on the mining of readers' emotions evoked by social…
  5. Application security is becoming increasingly prevalent during software and especially web application development. Consequently, countermeasures are continuously being discussed and built into applications, with the goal of reducing the risk that…
  6. A computational semantic lexicon of French verbs of feeling, emotion, and psychological states is presented here, as well as FEELING, a software program using this lexicon to provide an interpretation and to generate paraphrases. Semantic…
  7. During the last years, sentiment analysis has become a very popular task in Natural Language Processing. A ffective analysis of text is usually presented as the problem of automatically identifying a representative emotional category or scoring the…
  8. We describe an experiment into detecting emotions in texts on the Chinese microblog service Sina Weibo using distant supervision with various author-supplied conventional labels (emoticons and smilies). Existing word segmentation tools proved…
  9. Recent research has shown that virtual agents expressing empathic emotions toward users have the potentiality to enhance human-machine interaction. To identify under which circumstances a virtual agent should express empathic emotions, we have…
  10. Geographically distributed collaborative teams often rely on synchronous text-based online communication for accomplishing tasks and maintaining social contact. This technology leaves a trace that can help researchers understand affect expression…
  11. We present a fully automated algorithm for expanding an affective lexicon with new entries. Continuous valence ratings are estimated for unseen words using the underlying assumption that semantic similarity implies affective similarity. Starting…
  12. Sentiment analysis of online documents such as news articles, blogs and microblogs has received increasing attention. We propose an efficient method of automatically building the word-emotio n mapping dictionary for social emotion detection. In the…
  13. 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…
  14. 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…
  15. 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…
  16. 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…
  17. 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…
  18. 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.…