This is a professional application for systematic analysis of unstructured data, combining manual analytical work and automatic text processing tools. The program is designed to work with interviews, focus groups, surveys, PDFs, audio, and video: you can code excerpts, store memos, create codebooks, and visualize connections between topics. ATLAS.ti supports qualitative data analysis and mixed methods research approaches: you can combine quantitative tables and semantic analysis, export results for publication, and organize team collaboration.
Key features
Automatic coding and accelerated initial tagging with the option of manual correction (auto coding), which saves time on large corpora.
Full-text search and advanced queries: full-text search, regular expressions, and support for synonyms/lemmatization for accurate quote extraction.
Named entity recognition and sentiment analysis to identify people, organizations, places, and assess emotional tone.
Flexible code management: code hierarchies, color sorting, auto-completion, and structured codebook for clarity and reproducibility.
Code co-occurrence analysis and code co-occurrence maps to find hidden patterns and relationships.
Network visualizations and interactive graphs for visual exploration of relationships between concepts and documents.
Multimedia support: audio/video coding with timecodes, transcript integration, and quick preview of media quotes.
Teamwork and cloud collaboration for distributed teams with version control and access rights.
Export and reports: export quotes, codes, and analytics to Word, Excel, and PDF for publication and further analysis (project export).
Coding quality control: built-in tools for assessing inter-coder reliability and audit trail for method transparency.
UX improvements and performance optimization: fast response times for large projects, a clean interface, and well-designed navigation elements.
Security settings: local storage options, encryption, and access restrictions when working with sensitive data.
