Total environment for text data mining

0Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

In this challenge, we develop and distribute an integrated environment to flexibly combine multiple text mining techniques. Text mining techniques include numerous tasks such as salient sentence extraction, keyword extraction, topic extraction, textual coherence evaluation, multi-document summarization, and text clustering. Although tools that individually perform one or more of the above-mentioned tasks exist, it is difficult to integrate and activate multiple tools for a particular task. We attempt to provide the flexibility to integrate numerous tools that exist in the community in our proposed text mining environment. Users can use a customized version of the proposed text mining environment for their specific tasks, thereby concentrating solely on their creative work.

Cite

CITATION STYLE

APA

Sunayama, W., Takama, Y., Bollegala, D., Nishihara, Y., Tokunaga, H., Kushima, M., & Matsushita, M. (2011). Total environment for text data mining. Transactions of the Japanese Society for Artificial Intelligence, 26(4), 483–493. https://doi.org/10.1527/tjsai.26.483

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free