In this paper we investigate the discovery of association rules from a particular kind of images, namely document images. Document images are initially processed to extract both their layout structures and their logical structures. To take into account the inherently spatial nature of the layout structure, a spatial data mining algorithm is applied, which returns spatial association rules. We i...

Comments play an important role within online creative communities because they make it possible to foster the production and improvement of authors’ artifacts. We investigate how comment-based communication help shape members’ behavior within online creative communities. In this paper, we report the results of a preliminary study aimed at mining the communication network of a music community f...

We present an approach to knowledge discovery based on the author’s comments on pieces of information he conveys in his text. To carry out this task we propose a pattern-matching framework based on syntactic analysis that is able to represent a large variety of expressions that convey the same comment type. Our method has been applied effectively in novelty detection and risk detection tasks. W...

Mining Human Interaction flow in meetings or general representation of any interaction face to face to meetings is useful to identify the person reaction in dissimilar situation. Activities represent the natural history of the individual and mining methods help to analyze how person delivers their opinion in different ways. Meeting interactions are categorized as propose, comment, acknowledgeme...

The Boeing Collaborative Document Reviewer is an enterprise web application supporting large scale asynchronous collaborative authoring through real-time shared commenting. The application is specifically targeted to supporting the review and critique of contractor draft product documents by United States government customers. The system supports an iterative In-Process Review (IPR) workflow wi...

In online discussions, users often back up their stance with arguments. Their arguments are often vague, implicit, and poorly worded, yet they provide valuable insights into reasons underpinning users’ opinions. In this paper, we make a first step towards argument-based opinion mining from online discussions and introduce a new task of argument recognition. We match usercreated comments to a se...

Developer discussions range from in-person hallway chats to comment chains on bug reports. Being able identify that touch software design would be helpful in documentation and refactoring software. Design mining is the application of machine learning techniques correctly label a given discussion artifact, such as pull request, pertaining (or not) design. In this paper we demonstrate simple exam...

Presently, text mining in e-commerce reviews predominantly focus on singular sentiment analysis, yet constraints persist score computation, semantic inclination discernment, and lexicon construction. To address these limitations, this study establishes an user comment management system based mining. It performs part-of-speech tagging dependency grammar analysis the historical corpus of e-commer...