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41 results for “text mining”
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Research ArticleOpen accessIn the abstractIntegrating a Lexicon Based Approach and K Nearest Neighbour for Malay Sentiment AnalysisAhmed Alsaffar, Nazlia OmarSentiment analysis or opinion mining refers to the automatic extraction of sentiments from a natural language text. Although many studies focusing on sentiment analysis have been conducted, there remains a limited amount of studies that focus on sentiment analysis in the Malay language. In this article, a new approach for automatic sentiment analysis of Malay movie reviews is proposed, implemented … …Journal of Computer Science, Vol. 11, Issue 4 · 7 Jul 2015 · 7,654 accessesView PDFCite
Research ArticleOpen accessIn the abstractBUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPINGJinhyung Kim, Myunggwon Hwang, Do-Heon Jeong et al.In this study, we suggest the mobile business intelligence service based on adaptive recognition of user intention and usage patterns. This service is named as InSciTe adaptive and based on text mining and semantic web technologies. This service supports not only technology-focusing analysis and prediction but also adaptive recognition about user’s intention by semi-automatic user modeling process. By the adaptive … …Journal of Computer Science, Vol. 9, Issue 10 · 17 Sep 2013 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnified Semantic Blog Mining Framework and Summarized Blog RetrievalGodfrey Winster Sathianesan, Swamynathan SankaranarayananIn today’s scenario, publishing the personal content and technical content has become very easy for the publishers, because of the readily available prominent social media called blog. Content developers, teachers, researchers post various articles relevant to their research or newly emerging topics. Blog content in one blog source may resemble the semantics of blog from other source. Readers, who are … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractNon Functional Requirement Traceability Automation-an Mobile Multimedia ApproachM. Rajaram, J. SelvakumarRequirements Engineering (RE) is the area of software engineering that deals with the discovery and specification of the objectives for the system under development and the environment in which it is used including the human activities it supports. Requirement Elicitation is process of gathering requirements from stakeholders. Incorporating RE to identify non Functional Requirements (NFR) in early stages of design … …Journal of Computer Science, Vol. 8, Issue 11 · 7 Sep 2012 · 6,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractSketching-Din Elimination of Web PageP. Sivakumar, R. M.S. ParvathiProblem statement: The web content mining used to access lot of web pages, mining of web contents aims to extort positive information or awareness. Approach: There are several type of Web contents which can suggest valuable information to users are accessible in the Web, for instance graphical data, Extensible Markup Language documents, Hyper Text Markup Language documents and simple text. … …Journal of Computer Science, Vol. 7, Issue 12 · 22 Oct 2011 · 6,894 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,281 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSentiment Analysis of French Tweets based on Subjective Lexicon Approach: Evaluation of the use of OpenNLP and CoreNLP ToolsAbdelkader Rhouati, Jamal Berrich, Mohammed G. Belkasmi, Toumi BouchentoufNowadays, sentiment analysis is becoming a very important issue of research. This paper present experimentation on sentiment analysis based on subjective lexicon method. This experimentation is tested over French tweets using "Public Opinion Knowledge (POK)" platform. POK is a platform consists in getting public opinion orientation from text extracted from social network and blogs, which we have developed and presented … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,339 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDocument Clustering Based on Firefly AlgorithmAthraa Jasim Mohammed, Yuhanis Yusof, Husniza HusniDocument clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters. Various efforts have been put to address such drawback and this includes the utilization of swarm-based algorithms such as particle swarm optimization and Ant Colony Optimization. This study explores the adaptation of another swarm algorithm which … …Journal of Computer Science, Vol. 11, Issue 3 · 26 Mar 2015 · 7,510 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordMatrix Based Indexing Technique for Video DataDevarj Saravanan, Subramaniam SrinivasanDue to increasing the usage of media, the utilization of video play central role as it supports various applications. Video is the particular media which contains complex collection of objects like audio, motion, text, color and picture. Due to the rapid growth of this information video indexing process is mandatory for fast and effective retrieval. Many current indexing techniques fails … …Journal of Computer Science, Vol. 9, Issue 5 · 16 May 2013 · 6,539 accessesView PDFCite