Now showing items 11-13 of 13

  • Representation and learning schemes for sentiment analysis. 

    Mukras, Rahman (The Robert Gordon University School of Computing, 2009-01)
    This thesis identifies four novel techniques of improving the performance of sentiment analysis of text systems. Thes include feature extraction and selection, enrichment of the document representation and exploitation of ...
  • Role of semantic indexing for text classification. 

    Sani, Sadiq (Robert Gordon University School of Computing Science and Digital Media, 2014-09)
    The Vector Space Model (VSM) of text representation suffers a number of limitations for text classification. Firstly, the VSM is based on the Bag-Of-Words (BOW) assumption where terms from the indexing vocabulary are ...
  • Two-part segmentation of text documents. 

    Deepak, P.; Visweswariah, Karthik; Wiratunga, Nirmalie; Sani, Sadiq (ACM, 2012-10-29)
    DEEPAK, P., VISWESWARIAH, K., WIRATUNGA, N. and SANI, S. 2012. Two-part segmentation of text documents. In Proceedings of the 21st ACM international conference on information and knowledge management, 29 October - 02 November 2012, Maui, USA. New York: ACM [online], pages 793-802. Available from:
    We consider the problem of segmenting text documents that have a two-part structure such as a problem part and a solution part. Documents of this genre include incident reports that typically involve description of events ...