IJARAI Vol. 3 Issue 11 (2014)

Open Access | | 6 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Evaluating Sentiment Analysis Methods and Identifying Scope of Negation in Newspaper Articles

Author 1: S Padmaja Author 2: Prof. S Sameen Fatima Author 3: Sasidhar Bandu

Automatic detection of linguistic negation in free text is a demanding need for many text processing applications including Sentiment Analysis. Our system uses online news archives from two different resources namely NDTV and The Hindu. While dealing with news articles, we performed three subtasks namely identifying the target; separation of… Read full abstract & cite →

Sentiment Analysis Negation Identification News Articles

Abstract doi.org/10.14569/IJARAI.2014.031101 PDF

An Information-Theoretic Measure for Face Recognition: Comparison with Structural Similarity

Author 1: Asmhan Flieh Hassan Author 2: Zahir M. Hussain Author 3: Dong Cai-lin

Automatic recognition of people faces is a challenging problem that has received significant attention from signal processing researchers in recent years. This is due to its several applications in different fields, including security and forensic analysis. Despite this attention, face recognition is still one among the most challenging problems. Up… Read full abstract & cite →

Information Theoretic Similarity Joint Histogram Structural Similarity (SSIM) face recognition Image Processing

Abstract doi.org/10.14569/IJARAI.2014.031102 PDF

A Multistage Feature Selection Model for Document Classification Using Information Gain and Rough Set

Author 1: Mrs. Leena. H. Patil Author 2: Dr. Mohammed Atique

Huge number of documents are increasing rapidly, therefore, to organize it in digitized form text categorization becomes an challenging issue. A major issue for text categorization is its large number of features. Most of the features are noisy, irrelevant and redundant, which may mislead the classifier. Hence, it is most… Read full abstract & cite →

Introduction Document Preprocessing Information Gain Rough Set Classifiers

Abstract doi.org/10.14569/IJARAI.2014.031103 PDF

Double Competition for Information-Theoretic SOM

Author 1: Ryotaro Kamimura

In this paper, we propose a new type of informationtheoretic method for the self-organizing maps (SOM), taking into account competition between competitive (output) neurons as well as input neurons. The method is called ”double competition”, as it considers competition between outputs as well as input neurons. By increasing information in… Read full abstract & cite →

double competition self-organizing maps mutual information class structure

Abstract doi.org/10.14569/IJARAI.2014.031104 PDF

Mobile Learning-system usage: Scale development and empirical tests

Author 1: Saleh Alharbi Author 2: Steve Drew

Mobile technologies have changed the shape of learning for learners, society, and education providers. Consequently, mobile learning has become a core component in modern education. Nevertheless, introducing mobile learning systems does not automatically guarantee that learners will develop a positive behavioural intention to use it and therefore use it. Thus… Read full abstract & cite →

Mobile learning Mobile learning Higher education UTAUT IS Success

Abstract doi.org/10.14569/IJARAI.2014.031105 PDF

Realising Dynamism in MediaSense Publish/Subscribe Model for Logical-Clustering in Crowdsourcing

Author 1: Hasibur Rahman Author 2: Rahim Rahmani Author 3: Theo Kanter

The upsurge of social networks, mobile devices, Internet or Web-enabled services have enabled unprecedented level of human participation in pervasive computing which is coined as crowdsourcing. The pervasiveness of computing devices leads to a fast varying computing where it is imperative to have a model for catering the dynamic environment… Read full abstract & cite →

Internet crowdsourcing pervasive computing context information dynamism context-ID logical-clustering Publish/Subscribe MediaSense

Abstract doi.org/10.14569/IJARAI.2014.031106 PDF

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