Open Access
Text Mining Process, Techniques and Tools : an Overview
TLDR
In depth analysis of algorithm related to classification techniques its advantages and disadvantages and the working mode has been presented and various text mining and data visualization tools for application to patent information like their working mode, capabilities, data sources and result output have been presented.Abstract:
Text Mining has become an important research area, which refers to the application of machine learning (or data mining) techniques in the study of Information Retrieval and Natural Language Processing. In sense, it is defined as the way of discovering knowledge from ubiquitous text data which are easily accessible over the Internet or the Intranet. The survey of Text Mining techniques, Text Mining Applications, literature survey of various applications and tools has been presented. Text Mining techniques like Document clustering and Document Classification have been presented. Text mining based framework for applications like Summarization, Topic Discovery, Information Extraction, Information Retrieval terms and techniques in each method has been discussed. Various text mining and data visualization tools for application to patent information like their working mode, capabilities, data sources and result output have been presented. In depth analysis of algorithm related to classification techniques its advantages and disadvantages and the working mode has been presented.read more
Citations
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Journal ArticleDOI
Text Mining: Concepts, Applications, Tools and Issues - An Overview
K. L. Sumathy,M. Chidambaram +1 more
TL;DR: An overview of concepts, applications, issues and tools used for text mining is given.
Text Mining: Techniques and its Application
Shilpa Dang,Peerzada Hamid Ahmad +1 more
TL;DR: This paper has discussed general idea of text mining and comparison of its techniques, and briefly discusses a number of textmining applications which are used presently and in future.
Journal ArticleDOI
A systematic literature review of mining weak signals and trends for corporate foresight
TL;DR: A systematic literature review of the research domain reveals that a stronger emphasis on search strategies, data quality and automation is required to greatly reduce the human actor bias in the early stages of the corporate foresight process, thus supporting human experts more effectively in later stages such as strategic decision making and implementation.
Proceedings ArticleDOI
Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining
TL;DR: An approach using a novel two-stage method for text feature selection, where with the features selected by four different filter ranking methods at the first stage, more irrelevant features are removed by PSO to compose the final feature subset.
Powerful tool to expand business intelligence: Text mining
Li Gao,Elizabeth Chang,Song Han +2 more
TL;DR: This paper will work out the strong points of text mining in extracting business intelligence from huge amount of textual information sources within business systems, and apply text mining to each stage of Business Intelligence systems to prove that text mining is the powerful tool to expand the scope of BI.
References
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Book
Introduction to Information Retrieval
TL;DR: In this article, the authors present an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections.
Journal Article
A Brief Survey of Text Mining.
TL;DR: The main analysis tasks preprocessing, classification, clustering, information extraction and visualization are described and a number of successful applications of text mining are discussed.
Journal ArticleDOI
A Survey of Text Mining Techniques and Applications
TL;DR: In this paper, a Survey of Text Mining techniques and applications have been presented.
Journal ArticleDOI
Mining interesting knowledge from weblogs: a survey
TL;DR: A survey of the recent developments in Web Usage Mining, that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by Web servers, is presented.
Journal ArticleDOI
Text mining and visualization tools – Impressions of emerging capabilities
TL;DR: A high-level overview of some key text mining and visualization tools is presented to provide a comparison of text mining capabilities, perceived strengths, potential limitations, applicable data sources, and output of results, as applied to chemical, biological and patent information.