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International Journal of Information Retrieval Research (IJIRR) Volume 4, Issue 3

Book Description

The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary applications in data, text, and document retrieval. Targeting information engineers, scientists, and related professionals, IJIRR integrates interdisciplinary and multidisciplinary needs for a complete approach to the significant issue of data retrieval in the era of information fusion.

This issue contains the following articles:

  • Local and Global Latent Semantic Analysis for Text Categorization
  • Question Answering: A Survey of Research, Techniques and Issues
  • Text Clustering using Distances Combination by Social Bees: Towards 3D Visualisation Aspect
  • The Use of Arabic WordNet in Arabic Information Retrieval
  • Tweet Sentiment Analysis with Latent Dirichlet Allocation