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Text analysis and knowledge mining system

T. Nasukawa, T. Nagano
2001 IBM Systems Journal  
By applying our prototype system named TAKMI (Text Analysis and Knowledge MIning) to textual databases in PC help centers, we can automatically detect product failures; determine issues that have led to  ...  In order to overcome this counterintuitive situation, a text mining technology called TAKMI (Text Analysis and Knowledge MIning) has been developed to acquire useful knowledge from large amounts of textual  ...  Analysis and Language Engineering Group of the IBM Thomas J.  ... 
doi:10.1147/sj.404.0967 fatcat:ive5sati3ved7naill2ajdpwbu

Twitter user profiling based on text and community mining for market analysis

Kazushi Ikeda, Gen Hattori, Chihiro Ono, Hideki Asoh, Teruo Higashino
2013 Knowledge-Based Systems  
池 いけ 田 だ 和 かず 史 し 博士の専攻分野の名称 学 位 記 番 号 学 位 授 与 年 月 日 学 位 授 与 の 要 件 博 士(情報科学) 第 25864 号 平 成 25 年 3 月 25 日 学位規則第4条第1項該当 情報科学研究科情報ネットワーク学専攻 学 位 論 文 名 Techniques for Analysis and Classification of Online  ... 
doi:10.1016/j.knosys.2013.06.020 fatcat:ycvyilifnbbvtdj4e4kzvrao2e

Text and data mining techniques in aspect of knowledge acquisition for decision support system in construction industry

Marcin Gajzler
2010 Technological and Economic Development of Economy  
This article presents chosen IT tools using text mining technique, along with the elements of the text mining analysis.  ...  One of the biggest problems is the issue of gaining data and knowledge, their mutual representation and reciprocal usage. Data and knowledge make up the resources of the system and are its key link.  ...  Text documents and mining techniques It has been estimated that about 70-80% of the information and knowledge resources are text sources.  ... 
doi:10.3846/tede.2010.14 fatcat:kn4wdx47bvgfvp46g2ukym2kym

Text Mining: Concepts, Applications, Tools and Issues An Overview

K. L.Sumathy, M. Chidambaram
2013 International Journal of Computer Applications  
Text mining is an inspiring research area as it tries to discover knowledge from unstructured text. This paper gives an overview of concepts, applications, issues and tools used for text mining.  ...  The documents can be of any form such as structured documents, semi-structured documents and unstructured documents. Retrieving useful information from huge volume of documents is very tedious task.  ...  IR systems can speed up the analysis significantly by reducing the number of documents for analysis.  ... 
doi:10.5120/13851-1685 fatcat:yzgjxsy75vhwtopyexmtbkyh6m

Data Mining Framework for Treating both Numerical and Text Data

Wataru Sunayama, Tomoya Matsumoto, Yuji Hatanaka, Kazunori Ogohara
2018 International journal of service and knowledge management  
Goal of the data analysis is knowledge emergence that we find or create a new knowledge for decision making. In this paper, a mining framework that can treat both numerical and text data is proposed.  ...  Users of the proposed system can iterate data shrink and data analysis with both numerical and text analysis tools in a unique framework.  ...  In addition to this, we have to use two systems for realizing such analysis, because most of mining systems cannot treat both numerical and text data.  ... 
doi:10.52731/ijskm.v2.i1.229 fatcat:erq5ndz3kzbszcgpghzx4osihe

Knowledge Discovery in Academic Registrar Data Bases using Source Mining: Data and Text

Ma. Teresa Rios, Francisco J. Cantu
2006 Americas Conference on Information Systems  
In this paper we describe a knowledge-based system for extracting knowledge from academic and registrar databases using source mining, where the sources are data or text.  ...  Text mining techniques utilized are based on statistical and syntactic-semantic analysis and include Clasi-Tex (Clasitex), IBM Intelligent Miner for Text (IntelligentMiner), Text Roller (TextRoller), and  ...  We also thank the Graduate Program on Information Technology, the Center for Artificial Intelligence and the Data Mining for Business Intelligence Research Group.  ... 
dblp:conf/amcis/RiosC06 fatcat:hce2fygicnc7rgbzsc7vbglkmi

Research on Patent Information Analyzing and Predicting System Based on Data Mining

Yang Liu
2015 International Journal of Hybrid Information Technology  
The rapid development of computer science and technology promote the transform of the patent information analysis method from the traditional previous text analysis, simple statistical analysis to data  ...  We designed the function structure of the system which consists of patent data preprocessing, patent data mining and patent mining results visualization.  ...  System Design and System Structure System Function Analysis According to the actual needs of patent analysis, the main function of patent analyzing and predicting system based on data mining technology  ... 
doi:10.14257/ijhit.2015.8.5.23 fatcat:urr3azfjxzcj3o4tsgnawh53cm

Role of Text Mining in Information Extraction and Information Management
ENGLISH

M. Natarajan
2005 DESIDOC Bulletin of Information Technology  
The three stages of Knowledge Discovery in Data and Data Mining (KDD) process is given with the applications of text mining.  ...  Applications of text mining vary from Information retrieval, bioinformatics, patent analysis, sorting gene expression, mining hospital records and multilingual approach to cross-lingual text retrieval  ...  DEFINITIONAL ANALYSIS Text mining (TM) also known as intelligent text analysis, text data mining or knowledge-discovery in text (KDT), refers generally to the process of extracting, interesting and non-trivial  ... 
doi:10.14429/dbit.25.4.3663 fatcat:qfzdgomajrdbnmjorplfaullfq

Text Mining Technique for Driving Potentially Valuable Information from Text

2020 Information and Knowledge Management  
The paper ends with conclusion and the future line of works in the combining text mining and data mining techniques into a single system, a combination known as duo-mining, and also be more effective text  ...  It is an important step of Knowledge Discovery process. The aim of the paper is to study the concept of Text Mining and various techniques with a particular focus on text mining process.  ...  Conclusion Text Mining also known as Text Data Mining or KDT refers generally to the process of extracting interesting and non-trivial information and knowledge from unstructured text.  ... 
doi:10.7176/ikm/10-1-01 fatcat:z45wuvxfgfg7zcwu56iwb5vh2a

Biomedical text mining and its applications in cancer research

Fei Zhu, Preecha Patumcharoenpol, Cheng Zhang, Yang Yang, Jonathan Chan, Asawin Meechai, Wanwipa Vongsangnak, Bairong Shen
2013 Journal of Biomedical Informatics  
The immense body and rapid growth of biomedical text on cancer has led to the appearance of a large number of text mining techniques aimed at extracting novel knowledge from scientific text.  ...  To address this issue, we describe the general workflow of text mining in cancer systems biology and each phase of the workflow.  ...  Text mining can help us to mine information and knowledge from a mountain of text and it is now widely applied in biomedical research.  ... 
doi:10.1016/j.jbi.2012.10.007 pmid:23159498 fatcat:xd7j77sbwfhklkat6tael64lbq

Enhancing Arabic Text Mining Using Linguistic Factors

2011 Journal of the ACS Advances in Computer Science  
The contribution in this research is based on the design and implementation of a system combining morphology, synonyms, indexing and databases for Text Mining and Information Retrieval with different modes  ...  Text mining concerns extracting knowledge from unstructured textual data. The most important task to achieve this mission is finding the rules that relate specific words and phrases.  ...  On the commercial side, Rosette® Base linguistics [12] offers text mining tools and text analysis to work with Arabic text.  ... 
doi:10.21608/asc.2011.158213 fatcat:cwcboovx2zdmhecgwrs3gs6une

Review Paper on Text mining and Sentimental analysis

Jyoti Sharma
2017 International Journal Of Engineering And Computer Science  
In this paper we presented detailed review of the sentimental analysis and text analysis which will provide you deep insight of the work done in this and provides outline about the scope in this area and  ...  It is solitary of the majority vigorous research areas in natural language processing and text mining in latest years. Its attractiveness is primarily due to two reasons.  ...  Introduction Data mining can be referred as extracting the knowledge or "mining" the knowledge from massive amount of data. It comprises of two things knowledge discovery and knowledge deployment.  ... 
doi:10.18535/ijecs/v6i11.05 fatcat:tp6pjirae5d6zdxzyt5ubl5kgy

An Efficient Algorithm for Text Mining in Business Intelligence using Machine Learning

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper proposed an efficient approach for text mining using machine learning.  ...  Social network sites also generate huge amounts of data,with the help of these data people's behavior and thought easily determine but analysis of these data is a difficult task.  ...  INTRODUCTION The term text mining indicates the process of retrieving unknown knowledge from unstructured text.  ... 
doi:10.35940/ijitee.d2119.049620 fatcat:xyjlxvmkongtphjotz2iudqw2e

A Comparative Review of Text Mining & Related Technologies

Roland Vasili, Endri Xhina, Ilia Ninka, Thomas Souliotis
2018 International Conference on Recent Trends and Applications in Computer Science and Information Technology  
Text mining has become an established discipline in both research and business intelligence.  ...  Text mining is a multi-disciplinary field in view of Data Mining, Computational Linguistics, Artificial Intelligence and Machine Learning, Statistics, Databases, Library and Information Sciences, and actually  ...  Definition of Text Mining Text mining (TM), also called Intelligent Text Analysis, Text Data Mining or Knowledge-Discovery in Text (KDT), is mainly used to define the procedure of extracting interesting  ... 
dblp:conf/rtacsit/VasiliXNS18 fatcat:bb36j2ul3rhfdbaodvpw3imiru

Research on Text Mining Based on Domain Ontology [chapter]

Jiang Li-hua, Xie Neng-fu, Zhang Hong-bin
2014 IFIP Advances in Information and Communication Technology  
The author discusses the text mining methods based on ontology and puts forward text mining model based on domain ontology.  ...  This paper improves the traditional text mining technology which cannot understand the text semantics.  ...  System Frame The text mining system frame mades up of six modules: text mining pretreatment, text feature extraction, text mining, ontology management, ontology reasoning, evaluation and output the modes  ... 
doi:10.1007/978-3-642-54341-8_38 fatcat:x6py6tmzmzcvhnv74hzw3tyb7i
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