Pollinations
Pollinations is a free, open-source software for qualitative analysis and visualization of text data. It allows users to import, annotate, code, and explore textual data sets. The software has an intuitive user interface optimized for collaboration.
text-analysis
qualitative-analysis
visualization
collaboration
Pollinations: Free Text Analysis & Visualization Software
Discover the power of qualitative analysis with Pollinations, a free and open-source text analysis software. Explore, annotate, code, and visualize textual data sets with ease.
What is Pollinations?
Pollinations is a free, open-source web application for qualitative analysis and visualization of textual data sets. Developed by the Qualitative Data Repository, Pollinations aims to support collaborative qualitative research projects.
Key features of Pollinations include:
- Import text documents in a variety of formats like PDFs, Docs, TXT etc.
- Annotate and highlight key passages in the documents
- Assign custom codes to segments of text
- Visualize connections between codes and documents using graphs
- Share projects securely with other researchers for coding and analysis
- Export project data, codes, and analytics
With an intuitive, easy-to-use interface, Pollinations makes qualitative data analysis accessible to both new and experienced researchers. The software facilitates organization, rich description, and visualization of textual data. As an open-source project, Pollinations provides a free alternative to proprietary qualitative data analysis software.
If you manage a lot of textual data for qualitative interviews, focus groups, survey responses etc., Pollinations can be a great collaborative tool for your analysis workflow.
Pollinations Features
Features
- Import and analyze textual data
- Annotate and code textual data
- Visualize coded data
- Optimized for collaboration
- Qualitative analysis tools
Pricing
- Free
- Open Source
Pros
Free and open source
Intuitive user interface
Built for collaboration
Powerful analysis and visualization
Active development community
Cons
Limited quantitative analysis features
Steep learning curve for new users
Collaboration features could be improved
Lacks some advanced qualitative analysis tools
Official Links
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