Document (#38305)

Author

Vechtomova, O.

Title

¬A method for automatic extraction of multiword units representing business aspects from user reviews

Source

Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1463-1477

Year

2014

Abstract

The article describes a semi-supervised approach to extracting multiword aspects of user-written reviews that belong to a given category. The method starts with a small set of seed words, representing the target category, and calculates distributional similarity between the candidate and seed words. We compare 3 distributional similarity measures (Lin's, Weeds's, and balAPinc), and a document retrieval function, BM25, adapted as a word similarity measure. We then introduce a method for identifying multiword aspects by using a combination of syntactic rules and a co-occurrence association measure. Finally, we describe a method for ranking multiword aspects by the likelihood of belonging to the target aspect category. The task used for evaluation is extraction of restaurant dish names from a corpus of restaurant reviews.

Theme

Computerlinguistik

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