- An Introduction to Text Mining: Research Design, Data Collection, and Analysis
- Mastering Text Mining with R
- Mining Text Data
- Survey of Text Mining II: Clustering, Classification, and Retrieval
- Text Mining in Practice with R
- Text Mining with R: A Tidy Approach
- Text Mining: Applications and Theory
- Text Mining: From Ontology Learning to Automated Text Processing Applications
- The Text Mining Handbook
- Fundamentals of Predictive Text Mining
- Natural Language Processing and Text Mining
- Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS
- Text Mining for Qualitative Data Analysis in the Social Sciences
- Text Mining with Information Extraction
- Statistical Issues in Quantifying Text Mining Performance
- A Text Mining Framework for Discovering Technological Intelligence to Support Science and TechnologyManagement
- Text Mining Using Data Compression Models
- Graphical Models for Text Mining: Knowledge Extraction and Performance Estimation
- Text Mining and Gene Expression Analysis Towards Combined Interpretation of High Throughput Data
- Text Mining and Internet Content Filtering
- Scalable Text Mining with Sparse Generative Models
- Text Mining for Drug Discovery
- A Tool for Text Mining in Molecular Biology Domains
- Practical Text Mining With Per1
- Text mining for cross-domain knowledge discovery
- Text Mining in Financial Industry: Implementing Text Mining Techniques on Bank Policies
- Text Mining: Classification, Clustering, and Applications
- Unsupervised Algorithms for Cross-Lingual Text Analysis, Translation Mining, and Information Retrieval
- Survey of Text Mining: Clustering, Classification, and Retrieval Scanned by Velocity
- Text Mining for Biology and Biomedicine
- Text Mining with MATLAB