What is AI content analysis?
Content analysis is the systematic coding and interpretation of themes in text, such as survey responses, interview transcripts, reports or media coverage. AI content analysis detects and clusters the themes automatically, so you can see the structure of thousands of documents at once and drill down to individual texts.
Uncover insights and visualize themes in any text, any language
Analyze and map themes and topics within your text data, whether it's survey responses, interview transcripts, reports, academic articles, or online media. Our platform allows you to visually explore thematic clusters, providing both a high-level overview of the entire content landscape and the ability to zoom in on individual texts for deeper insights. Use semantic search in your languages of choice to quickly find specific information or leverage the Research Chatbot to ask questions and uncover insights hidden within your data.
- Map and analyze themes across survey responses news, transcripts, reports, and more
- Visually explore thematic clusters and content relationships
- Seamlessly zoom between high-level overviews and individual texts
- Supports text analysis in any language
- Use semantic search to quickly locate specific information
- Ask detailed questions and uncover hidden insights with the Research Chatbot
How our customers have benefited
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Transforming conference insights into strategic advantages
A leading components manufacturer leveraged Dcipher Analytics to efficiently analyze over 100 presentations from a key industry conference on brake systems. By automating content analysis and generating structured insights, the manufacturer identified emerging trends, saved weeks of manual effort, and provided organization-wide access to critical developments. Read the full case study
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Mapping Sweden’s innovation landscape in critical technologies
Vinnova, Sweden’s government innovation agency, used Dcipher Analytics' AI-powered content analysis to map the nation’s strengths and weaknesses across 10 critical technologies, including AI and quantum computing. The solution enabled data-driven policy decisions, global benchmarking, and significant time savings compared to traditional methods. Read the full case study
Frequently asked questions
Why can't a language model do this on its own?
Mapping the themes in thousands of documents needs clustering and pattern recognition, which language models are not built for, and a model can only read a limited amount of text at once. Dcipher combines embeddings, clustering and AI labeling, so it maps a whole collection into a content landscape and shows the gaps as well as the clusters.
What kinds of text can I analyze?
Survey responses, interview transcripts, reports, academic articles, news and social media, in any language.
How do I explore the results?
On a visual map of thematic clusters that gives an overview of the whole content landscape and lets you zoom in to individual texts.
Can I ask questions about my data?
Yes. The Research Chatbot answers questions about your data and helps you uncover insights hidden in it. Semantic search finds specific information in the languages of your choice.