text mining research papers-4

text mining research papers-4





Understanding text mining: A pragmatic approach
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In order to delineate the state of the art of the main TM applications a two-step strategy has been pursued: first of all, some of the main European and Italian companies offering TM solutions were contacted, in order to collect information on the characteristics of the

Retrieving Hierarchical Text Structure from Typeset Scientific Articles–a Prerequisite for E-Science Text Mining
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ABSTRACT Despite the growth and development of the web in scientific publishing, there remain significant obstacles to the application of computer based text processing technologies. One obvious obstacle is the relative paucity of freely and publicly available

Text mining on elementary forms in complex lexical structures
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ABSTRACT After showing the advantages of formulating lexical structures with variable elements in terms of symbolic objects (in this issue), the Authors propose to introduce the a priori information which determine their building in the analysis of elementary textual units

Hybrid clustering of text mining and bibliometrics applied to journal sets
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ABSTRACT To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become a popular strategy. In this paper, we propose a new computational framework of

Text mining with hybrid clustering schemes
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ABSTRACT Hybrid information retrieval (IR) schemes combine different normalization techniques and similarity functions. Hybrid schemes provide an efficient technique to improve precision and recall (see eg,[4]). This paper reports a hybrid clustering scheme

Profiling academic research on digital games using text mining tools
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ABSTRACT Academic research on digital games has been conducted for over 30 years. However, the abundance of disciplines conducting research on the topic makes it challenging for the interested to get a holistic and comprehensive account of past digital

Text mining and protein annotations: the construction and use of protein description sentences
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Existing biological knowledge stored as structured database records has been extracted manually by database curators analyzing the scienti c literature. Most of this information was derived from sentences which describe biologically relevant aspects of genes and gene

Employing Text Mining for Semantic Tagging in DIAsDEM.
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ABSTRACT Both public and private organizations have been accumulating large volumes of electronically available text documents for the past years. However, to turn text archives into profitable sources of knowledge, they should be transformed into an integrated and

Web text mining on a scientific forum
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ABSTRACT XSSC (Xiangshan Science Conference) is well known for its directive role to promote Chinese basic scientific research where the senior experts and authorities of Chinese sciences are invited to attend such conferences and discuss freely concerning

Managing the acronym/expansion identification process for text-mining applications
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ABSTRACT This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global process of acquisition and management of acronyms are precisely described. The

Text mining tools: Instruments for scientific discovery
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Page 1. Text Mining Tools: Instruments for Scientific Discovery Marti Hearst UC Berkeley Outline ? What knowledge can we discover from text?

Ontological text mining of software documents
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Documents written in natural languages constitute a major part of the software engineering lifecycle artifacts. Especially during software maintenance or reverse engineering, semantic information conveyed in these documents can provide important knowledge for the

Data and text mining the electronic medical record to improve care and to lower costs
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ABSTRACT This analysis uses data-mining techniques on an electronic medical record in the Emergency Department of a hospital to improve care while lowering costs. All patients records for a 6-month period were examined, and records of those patients who had an

Passage-based document retrieval as a tool for text mining with user s information needs
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Document retrieval can be considered as a basic but important tool for text mining that is capable of taking a user s information need into account. However, document retrieval is a hard task if multitopic lengthy documents have to be retrieved with a very short description

Improving text mining with controlled natural language: A case study for protein interactions
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Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since authors write in natural language, text mining is a great natural language processing challenge, which

Pulse: Mining customer opinions from free text
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We present a prototype system, code-named Pulse, for mining topics and sentiment orientation jointly from free text customer feedback. We describe the application of the prototype system to a database of car reviews. Pulse enables the exploration of large

Mining ontologies from text
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Ontologies have become an important means for structuring knowledge and building knowledge-intensive systems. For this purpose, efforts have been made to facilitate the ontology engineering process, in particular the acquisition of ontologies from domain texts

An empirical study on dimensionality optimization in text mining for linguistic knowledge acquisition
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In this paper, we try to find empirically the optimal dimensionality in data-driven models, Latent Semantic Analysis (LSA) model and Probabilistic Latent Semantic Analysis (PLSA) model. These models are used for building linguistic semantic knowledge which could be

Pubminer: Machine learning-based text mining system for biomedical information mining
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PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing and machine learning based data mining techniques for mining useful biological

The scamseek project–text mining for financial scams on the internet
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The Scamseek project, as commissioned by ASIC has the principal objective of building an industrially viable system that retrieves potential scam candidate documents from the Internet and classifies them as to their potential risk of containing an illegal investment

GPU-accelerated text mining
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ABSTRACT Accelerating hardware devices represent a novel promise for improving the performance for many problem domains but it is not clear for which domains what accelerators are suitable. While there is no room in general-purpose processor design to

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