get [PDF] Download Analyzing Textual Information: From Words to Meanings through Numbers

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Analyzing Textual Information From Words to
Meanings through Numbers (Quantitative
Applications in the Social Sciences)
3
Analyzing Textual Information From Words to
Meanings through Numbers (Quantitative Application
s in the Social Sciences)
Sinopsis
Researchers in the social sciences and beyond are
dealing more and more with massive quantities of
text data requiring analysis, from historical
letters to the constant stream of content in
social media. Traditional texts on statistical
analysis have focused on numbers, but this book
will provide a practical introduction to the
quantitative analysis of textual data. Using
up-to-date R methods, this book will take readers
through the text analysis process, from text
mining and pre-processing the text to final
analysis. It includes two major case studies
using historical and more contemporary text data
to demonstrate the practical applications of
these methods. Currently, there is no
introductory how-to book on textual data
analysis with R that is up-to-date and applicable
across the social sciences. Code and variety of
additional resources are available on an
accompanying website for the book.
a
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Bestselling new book releases
Analyzing Textual Information From Words to
Meanings through Numbers (Quantitative
Applications in the Social Sciences)
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description
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Analyzing Textual Information From Words to
Meanings through
Numbers
(Quantitative
Applications
in
the
Social
Sciences)
copy link in description
8
Researchers in the social sciences and beyond are
dealing more and more with massive quantities of
text data requiring analysis, from historical
letters to the constant stream of content in
social media. Traditional texts on statistical
analysis have focused on numbers, but this book
will provide a practical introduction to the
quantitative analysis of textual data. Using
up-to-date R methods, this book will take readers
through the text analysis process, from text
mining and pre-processing the text to final
analysis. It includes two major case studies
using historical and more contemporary text data
to demonstrate the practical applications of
these methods. Currently, there is no
introductory how-to book on textual data
analysis with R that is up-to-date and applicable
across the social sciences. Code and variety of
additional resources are available on an
accompanying website for the book.
a