Many of these books are available online.

Text Mining and Visualization: Case Studies Using Open Source Tools -online edition ordered.

Text Mining: A Guidebook for the Social Sciences

Data Mining for the Social Sciences: An Introduction

R and Data Mining Examples and Case Studies

Automated Data Collection with R: a Practical Guide to Web Scraping and Text Mining

Mining the Social Web

Text Mining with R: a Tidy Approach

Social Semantic Web Mining

Grimmer, Justin (2010) A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases.  Political Analysis. 18(1) 1 - 35.

Beginner lessons in Jupyter Notebooks and Python, "If you are completely new to text analysis, this is the place to start."  Intermediate lessons in text analysis, and build your dataset.  All from Constellate.  

Topic Modeling: A Basic Introduction - from the Journal of Digital Humanities

The Programming Historian from the website: "peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques and workflows to facilitate research and teaching."

Bot or Not - example of Twitter analysis conducted with Python by data scientist Erin Shellman.

Does Sentiment Analysis Work?  - review of sentiment analysis using R from data scientist David Robinson.

Python web scraping tutorial using BeautifulSoup from Dataquest

How to make a racist AI without really trying from ConceptNet

Well documented tutorial and write-up of an analysis using R from The Pudding