Expert knowledge bases are effective tools for providing a domain model from which intelligent, individualized support can be offered. This is even true for noisy data such as that gathered from activities involving illdefined domains and collaboration. We attempt to automatically detect the subject of free-text collaborative input by matching students’ messages to an expert knowledge base. In ...

Customer ratings are valuable sources to understand their satisfaction and are critical for designing better customer experiences and recommendations. The majority of customers, however, do not respond to rating surveys, which makes the result less representative. To understand overall satisfaction, this paper aims to investigate how likely customers without responses had satisfactory experienc...

Instant Messaging has become an effective way for many to chat with friends and colleagues. The Messaging tool typically shows a picture of each interlocutor, supports text chat and allows exchange of emoticons, small emotional representations of one’s feelings. This paper investigates how different ways of visualising such emotions can affect the user’s experience. In particular, two versions ...

In 2011, a young American adult in average sent and received over 100 text messages per day. Such communication habits indicate that in particular young people feel a strong urge to continually connect with people that are not physically present. It has been shown that always-on connections, e.g. by video chat, can satisfy this need. However, there might be situations in which video chat is not...

Instant Messaging (IM) has become an effective and convenient way for many to chat in real-time, over a distance with friends, family, student peers and colleagues. Messaging Tools such as Microsoft’s MSN® Messenger or Yahoo!® Messenger typically support text chat, show a picture of each interlocutor, and allow exchanging emoticons which are small emotional icons representing ones feelings. In ...

The Arabic language is a collection of spoken dialects with important phonological, morphological, lexical, and syntactic differences, along with a standard written language, Modern Standard Arabic (MSA). Since the spoken dialects are not officially written, it is very costly to obtain adequate corpora to use for training dialect NLP tools such as parsers. In this paper, we address the problem ...

Emotion detection is increasingly used in Embodied Conversational Agents to create an adapted reply channel to the user's affective state. In this context, we propose a method to detect emotions in short texts (i.e. in texts whose size is similar to dialog utterances). Our goal is to design a model to detect the dominant affective state produced by short texts onto a reader and to classify them...

In this paper, we present our collective effort to gather, annotate, and model various language resources for use in different research projects. This includes those that are available online such as tweets, Wikipedia articles, game chat, online radio, and religious text. The different applications, issues and directions are also discussed in the paper. Future works include developing a languag...

In this paper we describe automatic systems for identifying whether participants demonstrate social deliberative behavior within their online conversations. We test 3 corpora containing 2617 annotated segments. With machine learning models using linguistic features, we identify social deliberative behavior with up to 68.09% in-domain accuracy (compared to 50% baseline), 62.17% in-domain precisi...

This chapter describes the state of technology for studying Internet crimes against children, specifically and . We begin by presenting a survey of relevant research articles that are related to the study of . This survey includes a discussion of our work on the classification of chat logs that contain or . Many commercial enterprises have developed to monitor these behaviors, and the latest ve...