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SBS 2016 Track mining: Classification with linguistic features for book search requests classification
BibTeX
@MISC{Ettaleb_sbs2016,
author = {Mohamed Ettaleb and Chiraz Latiri and Brahim Douar and Patrice Bellot},
title = {SBS 2016 Track mining: Classification with linguistic features for book search requests classification},
year = {}
}
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Abstract
Abstract. In this paper, we describe text mining approaches dedicated to the classification track in Social Book Search Track Lab 2016. This track aims to exploit social knowledge extracted from LibraryThing and Reddit collections to identify which threads on online forums are book search requests. Our proposed classification model is based on combination of different textual features, namely : (i) basic linguistic features such as nouns and verbs; and, (ii) composed features such term sequences and noun phrases generated. Then, we applied a NaiveBayes classifier to specify the user's intentions in the requests.
