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Text Mining Technique for Driving Potentially Valuable Information from Text

2020 Information and Knowledge Management  
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.  ...  Finally, the paper discusses issues towards the techniques for driving potentially valuable information from text and also, discuss on integration data mining.  ...  Text mining techniques are incorporated for the applications like Information retrieval, Information Extraction, Summarization and Topic Discovery for necessary knowledge discovery process.  ... 
doi:10.7176/ikm/10-1-01 fatcat:z45wuvxfgfg7zcwu56iwb5vh2a

Semantics Graph Mining for Topic Discovery and Word Associations

Alex Romanova
2021 International Journal of Data Mining & Knowledge Management Process  
Big Data creates many challenges for data mining experts, in particular in getting meanings of text data.  ...  To validate topic discovery method we transfer words to vectors and vectors to images and use CNN deep learning image classification.  ...  By looking at semantic graph mining techniques from geometrical view, we can see the following benefits: • Traditional text mining techniques are based on bags of words with no dependencies between the  ... 
doi:10.5121/ijdkp.2021.11401 fatcat:mf3ccfwes5bw7amswut7cq2jaq

Applying Clustering Techniques for Efficient Text Mining in Twitter Data

K.T. Mathuna, I. Elizabeth Shanthi, K. Nandhini
2015 International Journal of Web Technology  
Visualization techniques are used to portray the results from which inferences like time series and topic flow can be easily made.  ...  In this paper the analysis of Twitter data is performed through the text contained in hash tags. After Preprocessing clustering algorithms are applied on text data.  ...  Integrating both text mining and visualization provides better knowledge on information discovery and decision making.  ... 
doi:10.20894/ijwt. fatcat:iv5tr4c2b5ajhctw7255lfxyxy

A Methodology of Guiding Web Content Mining and Knowledge Discovery in Evidence-based Software Engineering [article]

Zheng Li, Yan Liu
2017 arXiv   pre-print
At the second stage, we mainly focus on adapting Conducting Review by integrating a set of automated components ranging from programmatic searching to various text mining techniques.  ...  Web knowledge has been investigated and derived from Web content mining and knowledge discovery techniques, however they are still significantly different from reviewing academic literature.  ...  tools, techniques and processes of Web mining and knowledge discovery.  ... 
arXiv:1704.07551v1 fatcat:hs556kummzbodfk3ovexnb7zv4

Review and Comparative Analysis of Topic Identification Techniques

Deepti Sehrawat, Maharshi Dayanand University, Rohtak, Haryana (India)
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Topic identification is an area of data mining that finds common text/ themes from several documents. It is a data summarization technique that helps to summarize documents.  ...  This paper presents a comparative study of different text mining techniques with their strengths and weaknesses.  ...  Existing solutions generally use text clustering, hierarchical clustering, association rule based data mining, latent semantic approach and a number of other techniques for topic discovery [4] .  ... 
doi:10.30534/ijatcse/2019/71832019 fatcat:g46lyzxg7jcehlci4r62nxbtpe

Review on Pattern based Document Modelling Techniques

Jimsy Johnson, Smitha C.S.
2015 International Journal of Computer Applications  
Topic Modelling has been widely used in the fields of machine learning, text mining etc.  ...  But many variants of topic models have been proposed and most of them are based on the concept of bag-of-words and it ignores the association of words for representing topics.  ...  Phrase-based Representation Data mining techniques were applied to text mining and classification by using word sequences as descriptive phrases (N-Gram) [6] , from document collections.  ... 
doi:10.5120/ijca2015907653 fatcat:dqz34zegz5chvcq62iy4unelbe

UPH Digital Library Miner: A Topic Modelling-based Software Application for Mining Document Collections of a Digital Library

Toluwase A., Ayodeji I., Ifeanyi C.
2015 International Journal of Computer Applications  
This paper therefore presents UPH Digital Library Miner, a software application for mining document collections of a digital library for topical structure discovery and topic-based similarities search  ...  to discover latent topical structures in collections and also report collections that are similar based on their discovered topical structure.  ...  Perhaps most notably, text mining exploits techniques and methodologies from the areas of information retrieval, information extraction, and corpus-based computational linguistics [1] .  ... 
doi:10.5120/ijca2015907559 fatcat:acjsk76hvvf7ta7j5osbg2zjaq

A Novel Approach for Discovering the Patterns by using PDBD Model in Big Data

Kamatchi Sundravadivelu, Muthuraman Thangaraj
2022 Journal of Computer Science  
From textual sources, text-mining techniques extract a range of patterns and important facts.  ...  This research focuses on the creation of a novel approach for discovering patterns in big data using the Pattern Discovery in Big Data (PDBD) model in text mining.  ...  The focus of the proposed study is based on the notion that pattern mining techniques when applied with raw text data help to uncover useful information, which further supports intelligent decision making  ... 
doi:10.3844/jcssp.2022.382.395 fatcat:r3tlg4bvkrfxfas5ddwv3ovtsq

Improved Method for Pattern Discovery in Text Mining

Rakhi A. Dixit, Prof. V.A Chakrawar
2014 IOSR Journal of Computer Engineering  
The proposed technique uses two processes, pattern deploying and pattern evolving, to refine the discovered patterns in text documents.  ...  The experimental results show that the proposed model outperforms not only other pure data mining-based methods and the concept based model, but also term-based state-of-the-art models, such as BM25 and  ...  Improved Method for Pattern Discovery in Text Mining  ... 
doi:10.9790/0661-16361722 fatcat:6gbwrtvacrg6njvebbzny3jipm


Ε. Katsadaki, M. Kokla
2022 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The paper describes the implementation of Latent Dirichlet Allocation (LDA) topic modeling and association rule mining with FP-Growth for knowledge discovery.  ...  RapidMiner, an open-source data mining software is used for the objectives of this work.  ...  Geospatial data mining has a wide range of applications. The purpose of topic modeling, for example, is to organize texts based on term co-occurrences.  ... 
doi:10.5194/isprs-archives-xliii-b4-2022-47-2022 fatcat:34d4dcj2f5ebjclsodkxey4t6e

A Review on Text Mining in Data Mining

Yogapreethi N, Maheswari S
2016 International Journal of Soft Computing  
This survey is about the various techniques and algorithms used in text mining.  ...  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.  ...  Relevance feature discovery based on both positive and negative feedback for text mining models.  ... 
doi:10.5121/ijsc.2016.7301 fatcat:5g7upbyl2vgv3e5ee54ayb46ju

Hybridization of Web Content and Structure Mining (HWCSM) Technique by means of Content Based Ranking Algorithm

Supriya Byreddy, RajaniKanth Aluvalu
2014 IOSR Journal of Computer Engineering  
We can say web mining as the applications of the general data mining techniques to the Web.  ...  Current Day scenario most of the applications moved on to web to enable any where computing. Mining approaches are proved as the best to extract knowledge.  ...  Web document text mining, resource discovery based on concepts indexing or agent based technology may also fall in this category.  ... 
doi:10.9790/0661-1628134137 fatcat:hp4g5ilc6fcqpnnsfcsmddxdna

A Survey of Text Mining Techniques and Applications

Vishal Gupta, Gurpreet S. Lehal
2009 Journal of Emerging Technologies in Web Intelligence  
In this paper, a Survey of Text Mining techniques and applications have been s presented.  ...  Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources.  ...  This is possible through a KDD process based on Text Mining. A particular Text Mining approach is based on clustering techniques used to group documents according to their content.  ... 
doi:10.4304/jetwi.1.1.60-76 fatcat:wx3k6xjfh5dodjewrpu2jgfs4y

An Efficient Pharse Based Pattern Taxonomy Deploying Method for Text Document Mining

S. Brindha, Dr. S. Sukumaran
2018 International Journal of Trend in Scientific Research and Development  
The extraction of multiple word which are expressions that has been increasingly a special topic in the last few years.  ...  However, relevant words, which represent much of the knowledge in texts, have been a relatively dormant field.  ...  As text documents are represented as bag of words on which text mining methods are based.  ... 
doi:10.31142/ijtsrd11270 fatcat:e2u7mtefnbadzci2nkkcubz6t4

Review on Web Content Mining Techniques

Shipra Saini, Hari Mohan Pandey
2015 International Journal of Computer Applications  
The second phase of web mining is known as web content mining, which dealt mining of pictures, text and graphs etc.  ...  Later, we presented application of these approaches for structured, unstructured, semi-structured and multimedia data mining techniques.  ...  The research of applying data mining techniques to unstructured data is known as knowledge discovery in texts [4] .  ... 
doi:10.5120/20848-3536 fatcat:5g3oggnkhrfxhnx6bqh5b4ey5u
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