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  • Representation and learning schemes for sentiment analysis. 

    Mukras, Rahman (The Robert Gordon University School of Computing, 2009-01)
    MUKRAS, R., WIRATUNGA, N., LOTHIAN, R., CHAKRABORTI, S. and HARPER, D., 2007. Information gain feature selection for ordinal text classification using probability redistribution. In: Proceedings of IJCAI Textlink Workshop.
    MUKRAS, R., WIRATUNGA, N. and LOTHIAN, R., 2007. Selecting bi-tags for sentiment analysis of text. In: Proceedings of AI-2007. Cambridge: Springer. pp. 181-194
    MUKRAS, R., WIRATUNGA, N. and LOTHIAN, R., 2007. The Robert Gordon University at the opinion retrieval task of the 2007 Trec blog track. In: Proceedings of TREC 2007.
    CHAKRABORTI, S., MUKRAS, R., LOTHIAN, R., WIRATUNGA, N., WATT, S. and HARPER, D., 2007. Supervised latent semantic indexing using adaptive sprinkling. In: Proceedings of IJCAI. AAAI Press. pp. 1582-1587.
    ORECCHIONI, A., WIRATUNGA, N., MASSIE, S., CHAKRABORTI, S. and MUKRAS, R., 2007. Learning incident causes. In: Proceedings of ICCBR TCBR Workshop, 2007.
    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 ...