An emotion lexicon is an indispensable resource for emotion analysis. This paper aims to mine the relationships between words and emotions using weblog corpora. A collocation model is proposed to learn emotion lexicons from weblog articles. Emotion classification at sentence level is experimented by using the mined lexicons to demonstrate their usefulness.

Initially perceived to be a medium for amateur journalists and other individuals to share their knowledge, weblog appear to suddenly merge into the community building tool of choice for young people. This study explores this new use of weblog and how technology creates this new wave of social community by fulfilling the bloggers' needs.

In this paper, we propose a Weblog system called ActionLog, which can associate Weblog entries to real world contexts. The real world context is not only useful for Weblog authors themselves, but also beneficial to communication among people, because people with the same or a similar context can easily find each other. ActionLog collects user actions from both Web-based and other real-world sys...

In this paper, we propose a Weblog system called ActionLog, which can associate Weblog entries to real world contexts. The real world context is not only useful for Weblog authors themselves, but also beneficial to communication among people, because people with the same or a similar context can easily find each other. ActionLog collects user actions from both Web-based and other real-world sys...

Text mining often involves the extraction of keywords with respect to some measure of importance. Weblog data is textual content with a clear and significant temporal aspect. Concepts in this data, therefore, can be described temporally in terms of the patterns present in their time series. This paper describes a system which uses models of time series to rank keywords from a corpus of weblog p...

The majority of weblog posting events are recorded and distributed by ping services. Weblogging is an international phenomenon, a fact reflected in the geographic information presented in many online profiles. By examining 24 hours of ping data from Weblogs.com, a popular ping server, and combining temporal analysis with URL decomposition and the profile information associated with webloggers, ...

Contrary to a Wiki where the opinion of the individual user disappears in favor of a more impartial ‘collective intelligence’, a weblog is author-centered, expressing the author’s subjective point of view. This particular property of weblogs played a fundamental role for the popularity weblogs gained for making implicit knowledge explicit in an unsolicited, selforganized way. However, empirical...

Websites of a particular class form increasingly complex networks, and new tools are needed to map and understand them. A way of visualizing this complex network is by mapping it. A map highlights which members of the community have similar interests, and reveals the underlying social network. In this paper, we will map a network of websites using Kohonen’s self-organizing map (SOM), a neural-n...

Positive impacts on learning through blogging, such as active knowledge construction and reflective writing, have been reported. However, not many students use weblogs in informal contexts, even when appropriate facilities are offered by their universities. While motivations for blogging have been subject to empirical studies, little research has addressed the issue of why students choose not t...

A new wrapper induction algorithm WTM for generating rules that describe the general web page layout template is presented. WTM is mainly designed for use in weblog crawling and indexing system. Most weblogs are maintained by content management systems and have similar layout structures in all pages. In addition, they provide RSS feeds to describe the latest entries. These entries appear in the...