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Every consumer has his own opinion about the product he is using which they are willing to share in social groups like forums, chat rooms and weblogs. As these review comments are actual feedbacks from customers, mining the sentiments in these reviews is being increasingly inducted into the feedback pipeline for any company. Along with it, the increasing use of slang in such communities in expressing...
In software development, the knowledge of developers, architects and end users is spread out across dozens of development artifacts. Historically, structured development artifacts such as source code have been the primary focus of software engineering research, but the last couple of years have seen a dramatic increase of research on unstructured data, such as free-form text requirements and specifications,...
Information assets in service enterprises are typically available as unstructured documents. There is an increasing need for unraveling information from these documents into a structured and semantic format. Structured data can be more effectively queried, which increases information reuse from asset repositories. This paper addresses the problem of extracting XML models, which follow a given target...
Recent years have witnessed an increased interest in computing cosine similarities between documents (or commodities). Most previous studies require the specification of a minimum similarity threshold to perform cosine similarity search. However, it is usually difficult for users to provide an appropriate threshold in practice. Instead, in this paper, we propose to search top-K strongly related pairs...
Towards a data-centric workflow approach, we introduce an artifact model to capture data and workflow management activities in distributed settings. The model is built on Active XML, i.e., XML trees including Web service calls. We argue that the model captures the essential features of business artifacts as described informally in [A. Nigam and N. Caswell (2003)] or discussed in [R. Hull (2008)]....
We investigated variation analysis of individual character pattern written in free style and introduce our analysis strategy that combines five characteristics guessed to influence character variation and four types of analysis methods. The position of character, the order of writing the character, the writing time, writing pressure, etc. were selected as the five characteristics and the four analysis...
Social networks reflect communication, cooperation and loose acquaintances in networked communities. Numerous metrics allow to expose connections, important persons or clusters within these communities. Furthermore, networks can be spanned to connect documents, blog entries or wiki articles. We call such a network an artefact network. In this paper we introduce the approach of Artefact-Actor-Networks...
Text classification is widely used in applications ranging from e-mail filtering to review classification. Many of these applications demand that the classification method be efficient and robust, yet produce accurate categorizations by using the terms in the documents only. We present a supervised text classification method based on discriminative term weighting, discrimination information pooling,...
Nowadays, with the development of high quality graphical softwares, almost every presentation, in addition to text, contains some kind of images too. According to the presentation needs, different kinds of images are used by the presenters but different kinds of images needs different type of treatments which evolve the image categorization research. In our work we try to categorize images into two...
Text mining is growing as an essential method of knowledge discovery from general and business documents. Although, documents viz. press releases, emails, memos, contracts, government reports and news feeds, are considered to be unstructured, they are tapped for information using text analysis techniques like feature extraction, thematic indexing, clustering and summarization. For this project, 30...
The Semantic Web and Multi-Agent are effective means for constructing information retrieval systems. Despite a great deal of research, a number of challenges still exist before making Semantic Web and agent-based computing a widely accepted in information retrieval practice. In order to solve the problem of "difficult to feedback useful information to users", the paper developed a new information...
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