Summary of the paper
| Title | Evaluating a Text Mining Based Educational Search Portal |
|---|---|
| Authors | Sophia Ananiadou, John McNaught, James Thomas, Mark Rickinson and Sandy Oliver |
| Abstract | In this paper, we present the main features of a text mining based search engine for the UK Educational Evidence Portal available at the UK National Centre for Text Mining (NaCTeM), together with a user-centred framework for the evaluation of the search engine. The framework is adapted from an existing proposal by the ISLE (EAGLES) Evaluation Working group. We introduce the metrics employed for the evaluation, and explain how these relate to the text mining based search engine. Following this, we describe how we applied the framework to the evaluation of a number of key text mining features of the search engine, namely the automatic clustering of search results, classification of search results according to a taxonomy, and identification of topics and other documents that are related to a chosen document. Finally, we present the results of the evaluation in terms of the strengths, weaknesses and improvements identified for each of these features. |
| Topics | Evaluation methodologies, Text mining, Tools, systems, applications |
Full paper |
Evaluating a Text Mining Based Educational Search Portal |
Slides |
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| Bibtex | @InProceedings{ANANIADOU10.121, author = {Sophia Ananiadou and John McNaught and James Thomas and Mark Rickinson and Sandy Oliver}, title = {Evaluating a Text Mining Based Educational Search Portal}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |