Description: This book, "Text As Data: A New Framework for Machine Learning and the Social Sciences," offers a unique perspective on the intersection of computers, mathematics, and social science. The authors, Margaret E. Roberts, Brandon M. Stewart, and Justin Grimmer, provide a comprehensive guide to methodology, data modeling, design, and databases/data mining in the context of social science research. With a focus on text data, the book covers topics such as natural language processing, sentiment analysis, and social network analysis. It is published by Princeton University Press and is available in trade paperback format with 360 pages. The book is in English and was published in 2022. The item measures 10 inches in length, 7 inches in width, and 0.7 inches in height, and weighs 23.4 ounces.
Price: 37.99 USD
Location: Thiensville, Wisconsin
End Time: 2024-10-01T23:37:33.000Z
Shipping Cost: 5.25 USD
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Item must be returned within: 30 Days
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Book Title: Text As Data : A New Framework for Machine Learning and the Socia
Number of Pages: 360 Pages
Language: English
Publication Name: Text As Data : a New Framework for Machine Learning and the Social Sciences
Publisher: Princeton University Press
Item Height: 0.7 in
Publication Year: 2022
Subject: Methodology, Data Modeling & Design, General, Databases / Data Mining
Type: Textbook
Item Weight: 23.4 Oz
Item Length: 10 in
Subject Area: Mathematics, Computers, Social Science
Author: Margaret E. Roberts, Brandon M. Stewart, Justin Grimmer
Item Width: 7 in
Format: Trade Paperback
