Customizable
Use your own dictionaries, labels, and categories. Have your own private analyzer tuned to your data and your needs.
The Interpretor
A powerful NLP API
Use the artificial intelligence of the Interpretor, our NLP engine, to find out what's in customer feedback, news articles, social media posts, blogs, emails, or legal documents in your archives. Discover how powerful, customizable, and scalable it is.
See our demo now!
Trusted by
Clean and easy-to-use API
Use our REST API to integrate the Interpretor capabilities into your workflow, or use an SDK.
Out-of-the-box domains
Preconfigured for news, hospitality, banking and more.
Keboola integration
Calling the Interpretor from Keboola Connection is a matter of a few clicks.
Features
Preprocessing & Low-Level NLP Features
Morphology
Find the appropriate dictionary form and part of speech for each word.
High-Level NLP Features
Intent
Identify a customer’s expected problem or desired action and connect your chatbot.
Lost credit card Buy plane ticket
Categories
Sort texts into predefined categories. Use industry-standard categories such as IAB, IPTC, our out-of-the-box categories for restaurant VoC, or your own custom labels.
Technical support Billing Cancelations
Supported languages
The public API supports English, Czech, Dutch, French, German, Polish, Portuguese, and Slovak.
Support for Spanish is in beta.
We are able to add support for a new language in two weeks if required.
How it works
Technicalities
The Interpretor uses a pipeline of modules to analyze each document. We use a combination of machine learning modules (neural networks, support vector machines, conditional random fields, maximum entropy, etc.), rule-based models, and large knowledge bases to obtain the best possible results. Both the pipeline and the individual modules can be customized for a particular use-case.
Step 1
Preprocessing
- Format conversion
- Language detection
- Sentence segmentation
- Tokenization
Step 2
Grammar
- Correction
- Lemmatization
- Morphological tagging
- Syntactic structure
Step 3
Entities
- Discovery
- Standardization
- Disambiguation
- Linking
Step 4
Other
- Relations
- Sentiment
- Categorization
- Intent
What else?
Resources
Everything you need to integrate Geneea’s Interpretor into your solution
GET FREE API TRIALThe Latest from Geneea
RAG over Large Archives
Last week at the FIBEP Tech Day conference, our Jiri Hana spoke about the practical challenges of building RAG systems for news publishers and media monitoring companies. RAG for news monitoring is a different beast than the typical tutorial examples. We deal with datasets of hundreds of millions or even billions of articles. A few... The post RAG over Large Archives appeared first on Geneea News.
Geneea at WAN-IFRA AI Forum in Frankfurt
This week, our co-founder Petr Hamerník attended WAN IFRA’s AI Forum in Frankfurt, a conference connecting AI innovation and journalism. This was his third time attending, and the shift in maturity since last year’s events in Paris and Frankfurt is clear. We are seeing a move from tentative experiments to the deployment of production-grade tools... The post Geneea at WAN-IFRA AI Forum in Frankfurt appeared first on Geneea News.
Jirka Hana on Why Semantic Tagging Matters for Publishers
Our co-founder Jirka Hana recently contributed a guest article to the Stibo DX blog as part of our technology partnership with Stibo DX. Geneea’s semantic tagging and RAG-based research assistant are fully integrated into Stibo DX’s CUE enterprise media platform. The article, titled “Why Semantic Tagging Matters for Publishers,” explores the challenges modern publishers face... The post Jirka Hana on Why Semantic Tagging Matters for Publishers appeared first on Geneea News.