Text mining, in particular the clustering is mostly used by search engines to increase the recall and precision of a search query. The content of online websites (text, blogs, chats, news, etc.) are dynamically updated, never‐ theless relevant information on the changes made are not present. Such a scenario requires a dynamic text clustering method that operates without initial knowledge on a d...

We address the problem of evaluating textual, task-oriented dialogues between the customer and the helpdesk, such as those that take the form of online chats. As an initial step towards evaluating automatic helpdesk dialogue systems, we have constructed a test collection comprising 3,700 real Customer-Helpdesk multiturn dialogues by mining Weibo, a major Chinese social media. We have annotated ...

High-resolution data of online chats are studied as a physical system in laboratory in order to quantify collective behavior of users. Our analysis reveals strong regularities characteristic to natural systems with additional features. In particular, we find self-organized dynamics with long-range correlations in user actions and persistent associations among users that have the properties of a...

With Web 2.0 becoming increasingly popular, people tend to make more and more personal information available on the Internet: in social networks, blogs, chats and wikis. The younger generation especially seems to enjoy social networks and gives information about their lifestyle away freely. Have we, or will we, become Web junkies who deliberately put more or less their entire lives online? Look...

The advent of Web 2. 0 has been instrumental in paradigm shift of how people communicate? These communications are a rich source of relationship data. Analyzing such a vast amount of relationship data is not a trivial task. Social Network Analysis is a promising field of research to take advantage of this huge pool of relationship data. But before this data is analyzed from Social Network Analy...

The article explores the different types of therapeutic relationship that can evolve both on- and offline, thanks to the use of tools, such as software and applications, which enable therapists and patients contact outside of the traditional setting. Given the premise that it is practically impossible today to maintain a relationship without the use of internet and telephones, it becomes necess...

Students and members of communities of practice are often using online conversations to enhance their knowledge and skills. Although there have been a lot of efforts to find an efficient method for analyzing this type of discussions, most of the research has been mostly theoretical or has not been transformed into software due to technological limitations. This paper presents PolyCAFe, a system...

This work aims to classify the language of typed messages in a text chat system used by language learners. A method for training a language classifier from unlabeled data is presented. A dictionary-based method is used to produce initial classification of the messages. Character based n-gram models of order 3 and 5 are built. A method for selectively choosing the n-grams to be modeled is used t...