EyeOnText offers a NLP-based Text Analytics Development Environment for the Data Sciences. It ingests unstructured textual data and delivers structured semantic objects, such as entities, sentiments, profiles, facts and links. EyeOnText offers an open paradigm with a rule language and an elaborate set of basic building blocks.
The EyeOnText toolkit comes with more than 50 entities and semantics primitives that you can use out of the box. EyeOnText provides as well a suite of corpus analysis tools and an expressive semantic search environment to help you get started model your data.
Information needs are UNIQUE, that is why every aspect of the toolkit can be adapted to your needs: you can add dictionaries, ontologies, create rules, filter unwanted results and render results to the repository of your choice.
The toolkit has been created with multilinguality in mind. Most of the text mining solutions have limited support for languages other than English and do not deal with language idiosyncracies with big semantic load, such as clitics, compounds or separable verbs. EyeOnText offers a mature NLP platform for English, German, Dutch, French, Spanish and Portuguese that is easily extendable to other languages.
By definition, the best data mining solution is that which provide answers to your most compelling questions. An overview of solutions we have built in the past, and of the questions we have tried to answer: