Fundamentals of Quantitative Text Analysis

Format:

Book

Language:

English

Subjects (All):

Social sciences.

Physical Description:

Online course : (15 hr.)

Place of Publication:

London : SAGE Publishing 2020

Summary:

This course teaches learners how to analyze large amounts of textual data by applying R programming skills to an efficient, powerful and easy-to-use method - quantitative text analysis. This course is perfect for social scientists who want to understand the theory and assumptions that underpin quantitative text analysis, whilst developing their R programming skills via practical examples of analysis with real texts. This course will help learners to: • Understand the theoretical basis for Quantitative Text Analysis. • Survey methods for systematically extracting quantitative information from text for social scientific purposes. • Identify texts and units of texts for analysis. • Convert texts into matrices for quantitative analysis. • Analyze these matrices to generate inferences using quantitative or statistical methods. MODULE ONE: INTRODUCTION TO TEXT ANALYSIS AND CONCEPTUAL FOUNDATIONS •What is quantitative text analysis? •Conceptual foundations •The process of quantitative text analysis •Logistics and software •Example of text analysis •Relevant social science research MODULE TWO: THE BASICS OF WORKING WITH TEXTUAL DATA •Obtaining text data •Working with text files •Readhing text into R and creating metadata •Unis of analysis •Complexity and readability measures •Keywords in context •Relevant social science research MODULE THREE: EXAMINING INDIVIDUAL WORD OCCURRENCES •Wildcarding •Collocations •Stemming •Stopwords •Creating a document feature matrix •Feature weighting •Relevant social science research MODULE FOUR: COMPARING ACROSS •Euclidean distance and cosine similarity •General principles of dictionaries •External dictionaries •Creating your own dictionary •About wordscores •Implementing R •Relevant social science research

ISBN:

1-5297-5427-5

OCLC:

1200116879