Using Named Entity Recognition as a Classification Heuristic

Thomer, Andrea K.; Weber, Nicholas M.

Permalink

https://hdl.handle.net/2142/47362 Copy

Description

Title

Using Named Entity Recognition as a Classification Heuristic

Author(s)

• Thomer, Andrea K.
• Weber, Nicholas M.

Issue Date

2014-03-01

Keyword(s)

• bioinformatics
• text mining
• natural language processing
• named entity recognition
• acknowledgments
• authorship

Date of Ingest

2014-02-25T19:31:56Z

Abstract

This poster proposes the use of Named Entity Recognition as a heuristic tool for improving manual document classification. This technique was developed as part of a project studying collaborative work via the acknowledgment statements found in a corpus of formally published journal articles. We demonstrate how uncertainty in our initial text mining results were `ground-truthed' using Natural Language Processing tools in a quick-and-dirty fashion. To verify this technique's validity, we offer some initial results from our larger study.

Publisher

iSchools

Series/Report Name or Number

iConference 2014 Proceedings

Type of Resource

text

Genre of Resource

Conference Poster

Language

english

Permalink

http://hdl.handle.net/2142/47362

DOI

https://doi.org/10.9776/14401

Copyright and License Information

Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.

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