Data Mining Methods for the Content Analyst / Leetaru, Kalev.

Format:

Book

Author/Creator:

Leetaru, Kalev, author.

Language:

English

Subjects (All):

Data mining.

Physical Description:

1 online resource (106 pages)

Edition:

1st edition

Place of Publication:

Routledge, 2012.

System Details:

text file

Summary:

With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced users alike. Designed as an instructive reference to computer-based analysis approaches, each chapter of this resource explains a set of core concepts and analytical data mining strategies, along with detailed examples and steps relating to current data mining practices. Every technique is considered with regard to context, theory of operation and methodological concerns, and focuses on the capabilities and strengths relating to these technologies. In addressing critical methodologies and approaches to automated analytical techniques, this work provides an essential overview to a broad innovative field.

Contents:

Obtaining and preparing data

Vocabulary analysis

Correlation and co-occurrence

Lexicons, entity extraction, and geocoding

Topic extraction

Sentiment analysis

Similarity, categorization and clustering

Network analysis.

Notes:

Online resource; Title from title page (viewed November 12, 2012)

Includes bibliographical references and index.

OCLC:

949811302