Discovering the value of the Omaha system for knowledge representation and data classification : a semantics-powered text mining case study / Ragnhildur I. Bjarnadottir, Christie L. Martin, Sasank Maganti, Mackenzie Hoffman, Karen A. Monsen.

Format:

Book

Author/Creator:

Bjarnadottir, Ragnhildur I., author.

Martin, Christie L., author.

Maganti, Sasank, author.

Hoffman, Mackenzie, author.

Monsen, Karen A., author.

Series:

SAGE Research Methods Cases : Medicine and Health.

SAGE Research Methods Cases: Medicine and Health

Language:

English

Subjects (All):

Data mining--Research--Case studies.

Data mining.

Social media--Research--Case studies.

Social media.

Physical Description:

1 online resource : illustrations.

Place of Publication:

London : SAGE Publications Ltd, 2020.

Summary:

We provide a detailed case study of text mining for knowledge discovery from social media data using a standardized terminology. We describe the steps of text mining data from the social media platform CaringBridge using the Omaha System. The text mining process included data selection, preprocessing, transformation, lexical analysis, and classification, performing at an 89% accuracy. We also describe limitations in recall and our ongoing methodological approach to increasing the effectiveness of text mining validation and lexicon augmentation. The case study is an exemplar of semantics-powered text mining. It illuminates some of the challenges of analyzing text data, such as ambiguity, idioms, and typographical errors, and presents strategies to overcome some of these challenges. It also demonstrates the value of a comprehensive, whole-person standardized terminology to support text mining.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-5297-3055-4

9781529730555

OCLC:

1151024834