• 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