| KEA: practical automatic keyphrase extraction |
Witten, Ian H., Paynter, Gordon W., Frank, Eibe, Gutwin, Carl, Nevill-Manning, Craig G. (2005) |
Keyphrases provide semantic metadata that summarize and characterize documents. This chapter describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identifies candidate keyphrases using lexical methods, calculates feature values for each candidate, and uses a machine-learning algorithm to predict which candidates are good keyphrases. The machine-learning scheme first builds a prediction model using training documents with known keyphrases, and then uses the model to find keyphrases in new documents. We use a large text corpus to evaluate Kea's effectiveness in terms of how many author-assigned keyphrases are correctly identified. The system is simple, robust, and available under the GNU General Public License; the chapter gives instructions for use. |
| @incollection{ Author = {Witten, Ian H. and Paynter, Gordon W. and Frank, Eibe and Gutwin, Carl and Nevill-Manning, Craig G.}, Title = {KEA: practical automatic keyphrase extraction}, Editor = {Theng, Yin-Leng and Foo, Schubert}, Book = {Design and Usability of Digital Libraries: Case Studies in the Asia Pacific}, Chapter = {Chapter VIII}, Publisher = {Information Science Publishing}, Address = {London}, Pages = {129-152}, Abstract = {Keyphrases provide semantic metadata that summarize and characterize documents. This chapter describes Kea, an algorithm for automatically extracting keyphrases from text. Kea identifies candidate keyphrases using lexical methods, calculates feature values for each candidate, and uses a machine-learning algorithm to predict which candidates are good keyphrases. The machine-learning scheme first builds a prediction model using training documents with known keyphrases, and then uses the model to find keyphrases in new documents. We use a large text corpus to evaluate Kea's effectiveness in terms of how many author-assigned keyphrases are correctly identified. The system is simple, robust, and available under the GNU General Public License; the chapter gives instructions for use.}, Year = {2005} } |