- 书名:Text as Data: A New Framework for Machine Learning and the Social Sciences
- 出版社:Princeton University Press
- 作者:Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart
- 出版年份:2022
- 电子书格式: pdf
- 简介:Unlock the power of text data with “Text as Data.” This essential guide from Princeton University Press provides a comprehensive framework for applying machine learning techniques to textual data within the social sciences. Learn how to clean, analyze, and interpret text, covering topics such as topic modeling, sentiment analysis, and text classification. Ideal for researchers, students, and data scientists seeking to extract valuable insights from textual data. Master cutting-edge methods and enhance your research capabilities. Discover practical applications across diverse social science disciplines.
- ISBN:9780691207551, 97806
- 下载地址(点击下载):
声明:本站所有文章,如无特殊说明或标注,均为本站原创发布。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。
评论(0)