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.
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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
Language
Identify which of the supported 30+ languages the document was written in.
Morphology
Find the appropriate dictionary form and part of speech for each word.
High-Level NLP Features
Named and general entities
Find people, locations, dates, times, phone numbers, colors, economic terms, menu items, etc. Link them to Wikipedia, Open Streets Map, or your own database.
Sentiment
Find out what the attitude of the text’s author was. We give you the sentiment of the whole review, as well as that of individual sentences and entities.
Attributes
Sentiment gives you a numerical value. With attributes, you get a better understanding of what words your customers use to describe your employees, your products, etc.
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
Tags
Categories work for texts talking about what you anticipate. To find unexpected information, use our tags or keywords.
Supported languages
The public API supports English, Czech, Dutch, French, German, and Slovak.
Support for Polish and 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
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