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Research ArticleOpen accessPhrase in the titleDropping down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship InvestigationTareef Kamil Mustafa, Norwati Mustapha, Masrah Azrifah Azmi, Nasir B. SulaimanProblem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing that no other writer has; thus, authorship attribution is the … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,533 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA New Text Mining Approach for Finding Protein-to-Disease AssociationsHisham Al-Mubaid, Rajit K. SinghDiscovering significant relationships between biological entities from text documents is an important task for biologists in order to develop biological models for research and discovery, especially with the existing gigantic amounts of biomedical documents and the rate at which they are increasing everyday. We propose a new text mining method to extract associations between biological entities from text documents; and … …American Journal of Biochemistry and Biotechnology, Vol. 1, Issue 3 · 30 Sep 2005 · 7,012 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCTSS: A Tool for Efficient Information Extraction with Soft Matching Rules for Text MiningA. Christy, P. ThambiduraiThe abundance of information available digitally in modern world had made a demand for structured information. The problem of text mining which dealt with discovering useful information from unstructured text had attracted the attention of researchers. The role of Information Extraction (IE) software was to identify relevant information from texts, extracting information from a variety of sources and aggregating it … …Journal of Computer Science, Vol. 4, Issue 5 · 31 May 2008 · 6,892 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleShort Text Mining: State of the Art and Research OpportunitiesMohamed Grida, Hasnaa Soliman, Mohamed HassanWith the growing number of connected online users producing a tremendous amount of unstructured short-texts daily, understanding and mining these data becomes very useful for individuals, governments and companies for identifying the public users’ attitudes towards different entities, such as products, services, events, places, organizations and topics. However, analyzing these short-texts using traditional methods becomes a significant challenge due to … …Journal of Computer Science, Vol. 15, Issue 10 · 13 Oct 2019 · 8,091 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSignificant Term List Based Metadata Conceptual Mining Model for Effective Text ClusteringJ. Janet, S. Koteeswaran, E. KannanAs the engineering world are growing fast, the usage of data for the day to day activity of the engineering industry also growing rapidly. In order to handle and to find the hidden knowledge from huge data storage, data mining is very helpful right now. Text mining, network mining, multimedia mining, trend analysis are few applications of data mining. In … …Journal of Computer Science, Vol. 8, Issue 10 · 25 Aug 2012 · 7,087 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleVIRTUAL MINING MODEL FOR CLASSIFYING TEXT USING UNSUPERVISED LEARNINGS. Koteeswaran, E. Kannan, P. VisuIn real world data mining is emerging in various era, one of its most outstanding performance is held in various research such as Big data, multimedia mining, text mining etc. Each of the researcher proves their contribution with tremendous improvements in their proposal by means of mathematical representation. Empowering each problem with solutions are classified into mathematical and implementation models. … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 20 Feb 2014 · 6,582 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,992 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological ConditionsCharinee Prompukdee, Jaratsri Rungrattanaubol, Chayanin PratoomsootThai Traditional Medicine (TTM) is an integral part of Thai traditional culture, with a history which spans many centuries. As part of this tradition, a significant number of historical pharmacopoeias and herbal textbooks have been preserved but much of the content of these texts is hard to access and interpret and so this paper proposes a framework for applying knowledge … …Journal of Computer Science, Vol. 13, Issue 6 · 24 Jun 2017 · 7,551 accessesView PDFCite
Technical ReportOpen accessIn the keywordsComparison of Stochastic and Rule-Based POS Tagging on Malay Online TextKalaiarasi Sonai Muthu Anbananthen, Jaya Kumar Krishnan, Mohd. Shohel Sayeed, Praviny MuniapanExtensive development of web 2.0 has led to production of gigantic amount of user generated data. These data consist of many useful information. Manual analyzing these data and classifying sentiment in them, is an exhausting task, thus opinion mining method is needed. Opinion mining approach uses natural language processing where Part-of-Speech (POS) Tagging is a crucial part. The performance of … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Apr 2017 · 15,120 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluation and Sociolinguistic Analysis of Text Features for Gender and Age IdentificationVasiliki Simaki, Iosif Mporas, Vasileios MegalooikonomouThe paper presents an interdisciplinary study in the field of automatic gender and age identification, under the scope of sociolinguistic knowledge on gendered and age linguistic choices that social media users make. The authors investigated and gathered standard and novel text features used in text mining approaches on the author's demographic information and profiling and they examined their efficacy in … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 25 Sep 2016 · 9,132 accessesView PDFCite