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Text Mining: Techniques, Applications and Issues

Ramzan Talib, Muhammad Kashif, Shaeela Ayesha, Fakeeha Fatima
2016 International Journal of Advanced Computer Science and Applications  
Text mining is a process of extracting interesting and nontrivial patterns from huge amount of text documents.  ...  There exist different techniques and tools to mine the text and discover valuable information for future prediction and decision making process.  ...  The objective of this paper is to analyze different text mining techniques which help to perform text analytics effectively and efficiently from large amount of data.  ... 
doi:10.14569/ijacsa.2016.071153 fatcat:y7owr443uneqhj457ops34m3xa

Natural Language Processing and its Use in Education

Dr. Khaled
2014 International Journal of Advanced Computer Science and Applications  
Natural Language Processing (NLP) is an effective approach for bringing improvement in educational setting.  ...  Natural Language Processing provides solution in a variety of different fields associated with the social and cultural context of language learning.  ...  The Natural language processing is also an effective approach for developing an efficient system of managing linguistic input in the natural settings through various words, sentences, and texts.  ... 
doi:10.14569/ijacsa.2014.051210 fatcat:y73u4upxmffjziwtbdmpbtgyku


G. Ravi Kumar
Nowadays, text mining research has become one of the broad areas of research of natural language documents.  ...  The right and effective techniques for text mining help to speed up the extraction of valuable information and decrease the time and effort required.  ...  Issues in text mining filed During the text mining process, most issues arise and affect decision-making efficiency and effectiveness.  ... 
doi:10.26782/jmcms.spl.5/2020.01.00026 fatcat:jbesfbnafvhcfa3suzghossqhi

Different Data Mining Approaches Based Medical Text Data

Wenke Xiao, Lijia Jing, Yaxin Xu, Shichao Zheng, Yanxiong Gan, Chuanbiao Wen, Óscar Belmonte Fernández
2021 Journal of Healthcare Engineering  
The amount of medical text data is increasing dramatically. Medical text data record the progress of medicine and imply a large amount of medical knowledge.  ...  The advantages and shortcomings for each technique compared to different processes of medical text data were analyzed.  ...  Data Processing. e quality of data will affect the efficiency and accuracy of data mining and the effectiveness of the final pattern. e raw medical text data contain a large amount of fuzzy, incomplete  ... 
doi:10.1155/2021/1285167 pmid:34912530 pmcid:PMC8668297 fatcat:sr6zc5lfpvabdfgcd57uif76m4

Identifying Drug-Induced Liver Illness (DILI) with Computerized Information Extraction: No More Dilly-Dallying

H. Shen, A. Monto
2016 Digestive Diseases and Sciences  
IE, a subdomain of NLP, is aimed at better understanding the human process of language comprehension in order to develop tools and techniques in order to enable computer systems to manipulate natural languages  ...  As a result, large amounts of text can be automatically analyzed by effective extraction tools in order to gather useful information, which can then be represented in a tabular/structured format.  ...  IE, a subdomain of NLP, is aimed at better understanding the human process of language comprehension in order to develop tools and techniques in order to enable computer systems to manipulate natural languages  ... 
doi:10.1007/s10620-016-4359-z pmid:27943016 fatcat:mxeau7mgdbfqphgsi47ifvw2u4

A Review on Text Mining in Data Mining

Yogapreethi N, Maheswari S
2016 International Journal of Soft Computing  
Applications of natural language processing and analytical methods are highly preferred to turn text into data for analysis.  ...  Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from large amounts of data. The important term in data mining is text mining.  ...  Large amount of text data is accounted by the knowledge discovery.  ... 
doi:10.5121/ijsc.2016.7301 fatcat:5g7upbyl2vgv3e5ee54ayb46ju

Exploration of Cross-Modal Text Generation Methods in Smart Justice

Yangqianhui Zhang, Liang Zou
2021 Scientific Programming  
It facilitates the business for huge amounts of legal data effectively, which relieves the work pressure of the judicial department.  ...  The text generation technology can automatically present the results extracted from these redundant legal data and express the results of the analysis in natural language.  ...  learning natural language directly through a large amount of corpus. e resulting text is more flexible and intelligent.  ... 
doi:10.1155/2021/3225933 fatcat:b6bfqwfwmncv5hy7s6tivtocba

Special issue on deep learning for natural language processing

Wei Wei, Jinsong Wu, Chunsheng Zhu
2020 Computing  
A large amount of experiments are conducted to demonstrate the effectiveness of the proposed method.  ...  Making a computer to understand, analyze and interpret the meaning for human communication language is Natural Language Processing (NLP).  ... 
doi:10.1007/s00607-019-00788-3 fatcat:b4xrrsehnng7flsm322rcwdsxm

Powerful Tool To Expand Business Intelligence: Text Mining

Li Gao, Elizabeth Chang, Song Han
2007 Zenodo  
Data mining cannot deliver its impact on extracting useful details from the large collection of unstructured and semi-structured written materials based on natural languages.  ...  Some examples and applications of text mining will also be given. The motivation behind is to develop new approach to effective and efficient textual information analysis.  ...  ACKNOWLEDGMENT The authors would present theirs thanks to the anonymous reviewers of the International Program Committee within this international conference.  ... 
doi:10.5281/zenodo.1332300 fatcat:kx3iggbrn5evbdi2j77676ci5y


Lyubov Badyorina
2013 Vìsnik Nacìonalʹnogo Avìacìjnogo Unìversitetu  
The paper considers the application of mathematical tools for formalizing of grammatical structures to facilitate the Phrases processing by computer means.  ...  It is an effective means of mathematical representation of information and solving logic problems for empowering and improving the efficiency in processing of natural language information.  ...  Methods and tools used for constructing the apparatus of mathematical modeling of natural languages can be useful in other information areas which require combining large amounts of data and knowledge  ... 
doi:10.18372/2306-1472.54.3862 fatcat:dscklyvn2bflhj44c3eraypile

Fast and quasi-natural language search for gigabytes of Chinese texts

Lee-Feng Chien
1995 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95  
This paper presents an efficient signature file approach for fast and intelligent retrieval of large Chinese full-text document databases.  ...  The proposed approach is an integrated and efficient text access method, which performs well both in exact match searching of Boolean queries and best match searching (ranking) of quasi-natural language  ...  . language documents published in Mainland China, Japan, Taiwan, etc., and the trend of global networking, there is an increasing need for retrieving large amount of these documents fast and intelligently  ... 
doi:10.1145/215206.215345 dblp:conf/sigir/Chien95 fatcat:phv2xb5zzvgx3ikswvw5vhfbkq

Natural Language Processing Applications in Business [chapter]

Mohammed Bahja
2020 E-Business [Working Title]  
This can enable humancomputer interaction in a more effective way as well as allow for the analysis and formatting of large volumes of unusable and unstructured data/text in various industries.  ...  , to improve the process of understanding and processing the natural language.  ...  In sum, given the efficiency of NLP techniques in improving the accuracy in data analysis and processing of natural language, it has immense scope for use in the areas of robotics and business intelligence  ... 
doi:10.5772/intechopen.92203 fatcat:4uquopbugncv3ketdtfrt7ilwq

Is there a new way to correct errors

Anxiao Jiang, Jehoshua Bruck
2015 2015 Information Theory and Applications Workshop (ITA)  
We focus on text data, and show that this approach based on language processing can significantly improve the error correction performance.  ...  And the rates of ECCs are approaching theoretical limits.  ...  Text data are mainly natural languages, in addition to characters for format control, etc.  ... 
doi:10.1109/ita.2015.7308985 dblp:conf/ita/JiangB15 fatcat:c5tkttoedzd55o4qtm4b5ok6uy

Review on Text Analytics an Approach to Artificial Intelligence

Vaishnavi D. Fate
2019 International Journal for Research in Applied Science and Engineering Technology  
Text analytics supports organizations in managing unstructured information, identifying connections and relationships in information, and in extracting relevant entities to improve knowledge management  ...  For the past decade, the number of text messages sent daily has increased by more than 7%. Younger generations overwhelmingly prefer texting to phone calls.  ...  Machine learning for natural language processing and text analytics involves using machine learning algorithms and "narrow" artificial intelligence (AI) to understand the meaning of text documents.  ... 
doi:10.22214/ijraset.2019.6251 fatcat:g2d3rot64zasvgmka5kfpinyua

Review of the Classification of Massive Chinese Texts Based on Spark

Liu Yu, Yansong Wang
2018 MATEC Web of Conferences  
Therefore, it is vital accurately classify a large amount of text, judge its nature according to the classification result, and carry out targeted treatment.  ...  amount of text at all times.  ...  For text data, it is mainly used in natural language processing and semantic mining, such as the presenting of algorithms of word vector, convolutional neural network (CNN) [24] [25] , and recurrent  ... 
doi:10.1051/matecconf/201823201039 fatcat:vtupau4uung6fag3iczjd63b3u
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