Papers in this group

1 - 20 of 360
  1. In recent years, increasing impact of social networks on people's opinions and decision making has attracted lots of attention. Microblogging, one of the most popular social network applications that allows people to share ideas and discuss over…
  2. 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…
  3. 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-annotated dataset which combines news headlines, fairy tales and…
  4. One important but often overlooked aspect of human contexts of ubiquitous computing environment is human’s emotional status. And, there are no realistic and robust humancentric contents services so far, because there are few considers about…
  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. 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…
  7. 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…
  8. 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…
  9. 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…
  10. 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…
  11. 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…
  12. 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…
  13. 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…
  14. 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…
  15. 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…
  16. 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…
  17. 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…