Maximal phrases based analysis for prototyping online discussion forums postings

Authors:
Gaston Burek;Dale Gerdemann
Affiliations:
Tuebingen University, Tuebingen, Germany;Tuebingen University, Tuebingen, Germany
Venue:
AdaptLRTtoND '09 Proceedings of the Workshop on Adaptation of Language Resources and Technology to New Domains
Year:
2009

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Abstract

Chat texts produced in an educational environment are categorized and rated for the purpose of positioning (or placement) of the learner with respect to a learning program (appropriate courses, textbooks, etc). The difficulty lies in the fact that the texts are short and informal. A standard LSA/vector-space model is therefore combined with techniques appropriate for short texts. The approach uses phrases rather than words in the term-document matrix, and for determining prototypical documents of each category, a nonpara-metric permutation test is used.