Multi-purpose framework for automated text understanding
TextSpace is a flexible framework which helps developers to build Natural Language Understanding (NLU) and Natural Language Processing (NLP) solutions, with intent classification and entity extraction as its two major components. The solution can be employed on the clients' own machines, hence do not require to be employed in the cloud where data privacy and GDPR issues arise.
Furthermore, TextSpace comes pre-trained on 36 languages, including languages with small data sets like the Scandinavian and Indian languages. Currently, we work on expanding the capabilities of TextSpace to include a summarizer, a cognitive answering machine, data enrichment, a spell checker, a sentiment analyzer, a language recognizer, speech to text, and topic modeling, that are served externally as APIs at the moment.