Provides clear guidance on leveraging computational techniques to
answer social science questions In disciplines such as political
science, sociology, psychology, and media studies, the use of
computational analysis is rapidly increasing. Statistical modeling,
machine learning, and other computational techniques are
revolutionizing the way electoral results are predicted, social
sentiment is measured, consumer interest is evaluated, and much
more. Computational Analysis of Communication teaches social
science students and practitioners how computational methods can be
used in a broad range of applications, providing
discipline-relevant examples, clear explanations, and practical
guidance. Assuming little or no background in data science or
computer linguistics, this accessible textbook teaches readers how
to use state-of-the art computational methods to perform
data-driven analyses of social science issues. A cross-disciplinary
team of authors--with expertise in both the social sciences and
computer science--explains how to gather and clean data, manage
textual, audio-visual, and network data, conduct statistical and
quantitative analysis, and interpret, summarize, and visualize the
results. Offered in a unique hybrid format that integrates print,
ebook, and open-access online viewing, this innovative resource:
Covers the essential skills for social sciences courses on big
data, data visualization, text analysis, predictive analytics, and
others Integrates theory, methods, and tools to provide unified
approach to the subject Includes sample code in Python and links to
actual research questions and cases from social science and
communication studies Discusses ethical and normative issues
relevant to privacy, data ownership, and reproducible social
science Developed in partnership with the International
Communication Association and by the editors of Computational
Communication Research Computational Analysis of Communication is
an invaluable textbook and reference for students taking
computational methods courses in social sciences, and for
professional social scientists looking to incorporate computational
methods into their work.
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Release date: |
March 2022 |
Authors: |
W van Atteveldt
|
Dimensions: |
253 x 178 x 19mm (L x W x T) |
Format: |
Paperback
|
Pages: |
336 |
ISBN-13: |
978-1-119-68023-9 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
General
|
LSN: |
1-119-68023-9 |
Barcode: |
9781119680239 |
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