The OpenResearch API (OR-API) provides you with machine learning-powered NLP tools for scientific text analysis and exploration. In addition to allowing the training of your own models with your own data, the OR-API enables you to integrate the insights from the analysis in your dashboards and applications.
Topic Modeling is a statistical approach for discovering common themes in a collection of documents. Use this approach to find out what your collection is about.
Doc2Vec is an unsupervised learning approach to learn document representations. Use Doc2Vec to find out how document are related to each other.
BioBERT model fine-tuned for question answering. Use this approach for finding text excerpts that best answer to natural language questions.
The OR-API Documentation contains instructions about how to effectively use and integrate the API with an third-party apps. Access Postman to know all the information required to work with the API, with details about the functions, classes, return types, arguments as well as tutorials and examples.
