text mining research papers-2

text mining research papers-2




MedMeSH summarizer: text mining for gene clusters
FREE DOWNLOAD
Gene Expression is the process by which a gene s coded information is translated into the proteins present and operating in the cell. Changes in gene expression are associated with many important biological phenomena, including morphogenesis and aging, cancer and

Text mining techniques to automatically enrich a domain ontology
FREE DOWNLOAD
Though the utility of domain ontologies is now widely acknowledged in the IT (Information Technology) community, several barriers must be overcome before ontologies become practical and useful tools. A critical issue is the ontology construction, ie, the task of

Topic map generation using text mining
FREE DOWNLOAD
ABSTRACT Starting from text corpus analysis with linguistic and statistical analysis algorithms, an infrastructure for text mining is described which uses collocation analysis as a central tool. This text mining method may be applied to different domains as well as languages.

Textvis: An integrated visual environment for text mining
FREE DOWNLOAD
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that provide knowledge about this domain. Additionally, the derived patterns can be used to browse

Text mining at detail level using conceptual graphs
FREE DOWNLOAD
Text mining is defined as knowledge discovery in large text collections. It detects interesting patterns such as clusters, associations, deviations, similarities, and differences in sets of texts. Current text mining methods use simplistic representations of text contents, such as

Multi-relational learning, text mining, and semi-supervised learning for functional genomics
FREE DOWNLOAD
We focus on the problem of predicting functional properties of the proteins corresponding to genes in the yeast genome. Our goal is to study the effectiveness of approaches that utilize all data sources that are available in this problem setting, including relational data,

A multilingual text mining approach based on self-organizing maps
FREE DOWNLOAD
This paper describes our work on developing a language-independent technique for discovery of implicit knowledge from multilingual information sources. Text mining has been gaining popularity in the knowledge discovery field, particularity with the increasing

Text mining through semi automatic semantic annotation
FREE DOWNLOAD
The Web is the greatest information source in human history. Unfortunately, mining knowledge out of this source is a laborious and error-prone task. Many researchers believe that a solution to the problem can be founded on semantic annotations that need to be

A rough-set-refined text mining approach for crude oil market tendency forecasting
FREE DOWNLOAD
ABSTRACT In this study, we propose a knowledge-based forecasting system-rough-set- refined text mining (RSTM) approach-for crude oil price tendency forecasting. This system consists of two modules. In the first module, text mining techniques are used to construct a

An ontology-based approach to support text mining and information retrieval in the biological domain
FREE DOWNLOAD
ABSTRACT This paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based on semantic web technologies, relies on formalised ontologies, semantic

Using decision trees and text mining techniques for extending taxonomies
FREE DOWNLOAD
ABSTRACT Lexical taxonomies have tree-like structures and can thus be extended to become decision trees that serve for their own extension. In this paper, a semi-automatic procedure for extending lexical taxonomies is proposed that makes use of term extraction methods

An approach to text mining using information extraction
FREE DOWNLOAD
ABSTRACT In this paper we describe our approach to Text Mining by introducing TextMiner. We perform term and event extraction on each document to find features that are likely to have meaning in the domain, and then apply mining on the extracted features labelling each

Lyric text mining in music mood classification
FREE DOWNLOAD
ABSTRACT This research examines the role lyric text can play in improving audio music mood classification. A new method is proposed to build a large ground truth set of 5,585 songs and 18 mood categories based on social tags so as to reflect a realistic, user-

Extracting functional annotations of proteins based on hybrid text mining approaches
FREE DOWNLOAD
ABSTRACT In this report, we present the system that we built for task 2 of the BioCreAtIvE competition, which is based on the MeKE (Medical Knowledge Explorer) system [3] developed earlier. Our system combines the high-precision advantage of a pattern

Ontology design for biomedical text mining
FREE DOWNLOAD
Text Mining in biology and biomedicine requires a large amount of domain-specific knowledge. Publicly accessible resources hold much of the information needed, yet their practical integration into natural language processing (NLP) systems is fraught with

Text mining for patent map analysis
FREE DOWNLOAD
ABSTRACT Patent documents contain important research results. However, they are lengthy and rich in technical and legal terminology such that it takes a lot of human efforts to analyze them. Automatic tools for assisting patent analysis are in great demand. This paper

MINT and IntAct contribute to the Second BioCreative challenge: serving the text-miningcommunity with high quality molecular interaction data
FREE DOWNLOAD
ABSTRACT Background: In the absence of consolidated pipelines to archive biological data electronically, information dispersed in the literature must be captured by manual annotation. Unfortunately, manual annotation is time consuming and the coverage of

Circle graphs: New visualization tools for text-mining
FREE DOWNLOAD
The proliferation of digitally available textual data necessitates automatic tools for analyzing large textual collections. Thus, in analogy to data mining for structured databases, text mining is defined for textual collections. A central tool in text-mining is the analysis of

Taaable: Text Mining, Ontology Engineering, and Hierarchical Classification for Textual Case-Based Cooking
FREE DOWNLOAD
ABSTRACT. This paper presents how the TAAABLE project addresses the textual case-based reasoning challenge of the CCC, thanks to a combination of principles, methods, and technologies of various fields of knowledge-based system technologies, namely CBR,

Combining biological databases and text mining to support new bioinformatics applications
FREE DOWNLOAD
A large amount of biological knowledge today is only available from full-text research papers. Since neither manual database curators nor users can keep up with the rapidly expanding volume of scientific literature, natural language processing approaches are

Maximal association rules: A tool for mining associations in text
FREE DOWNLOAD
We describe a new tool for mining association rules, which is of special value in text mining. The new tool, called maximal associations, is geared toward discovering associations that are frequently lost when using regular association rules. Intuitively, a maximal association

Mining knowledge from text collections using automatically generated metadata
FREE DOWNLOAD
Data mining is typically applied to large databases of highly structured information in order to discover new knowledge. In businesses and institutions, the amount of information existing in repositories of text documents usually rivals or surpasses the amount found in

Related

text mining research papers

text mining research papers-3 CSE PROJECTS

FREE IEEE PAPER AND PROJECTS

FREE IEEE PAPER