Korp : Efficient Data Analysis for Research Teams
Korp: in summary
Korp is a software designed for researchers seeking advanced data analysis capabilities. Suitable for both small and large teams, it excels in corpus analysis and language processing. With user-friendly interfaces and robust visualisation tools, Korp distinguishes itself in handling complex linguistic data effortlessly.
What are the main features of Korp?
Advanced Corpus Analysis
Delve deep into text data with Korp's state-of-the-art corpus analysis tools. Tailored for researchers who need precision and thoroughness, it facilitates nuanced textual insights.
- Customisable queries: Adapt analyses to meet specific project needs with an intuitive query builder.
- Multi-language support: Conduct analyses across numerous languages, ideal for cross-cultural studies.
- Comprehensive metadata integration: Enhance text data insights with flexible metadata options.
Powerful Language Processing
Streamline language processing tasks with tools designed for efficiency and accuracy. Korp empowers teams to dissect and scrutinise large volumes of linguistic data with ease.
- Advanced tagging capabilities: Accurately tag and categorise text components, vital for detailed analysis.
- Robust parsing features: Simplify the complexity of grammatical structures in diverse languages.
- Linguistic pattern recognition: Identify and leverage recurring language patterns for deeper research insights.
Interactive Visualisation Tools
Transform complex data sets into dynamic visuals with Korp's visualisation capabilities, enhancing understanding and communication of research findings.
- Custom graphs and charts: Create personalised visual representations to suit specific research contexts.
- Real-time updates: Stay informed with data visualisations that reflect the latest changes and trends.
- Exportable visual data: Share insights easily with colleagues or stakeholders through diverse visual data formats.
Korp: its rates
Standard
Free
Standard
€25.00
/month /user
Standard
€235.00
/year /user
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