Abstract
Opinion Mining (OM) and Sentiment Analysis problems lay in the conjunction of such fields as Information Retrieval and Computational Linguistics. As the problems are semantic oriented, the solution must be looked for not in data as such, but in its meaning, considering complex (both internal and external,) domain specific context relations. This paper presents Opinion Mining as a specific definition of structural pattern recognition problem. Neuronal Group Learning, earlier presented as general structural data analysis tool, is specialised to infer annotations from natural language text.
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Pryczek, M., Szczepaniak, P.S. (2010). Opinion Mining through Structural Data Analysis Using Neuronal Group Learning. In: Snášel, V., Szczepaniak, P.S., Abraham, A., Kacprzyk, J. (eds) Advances in Intelligent Web Mastering - 2. Advances in Intelligent and Soft Computing, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10687-3_17
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DOI: https://doi.org/10.1007/978-3-642-10687-3_17
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