Certara.AI API offers several methods for text analysis and annotation using deep learning models. These natural language processing (NLP) tools provide valuable information for language understanding and information extraction tasks.
Question answering is a method that receives a question from a user and searches the provided text to determine the most probable answer(s) based on the model's understanding of the question and the text.
Named entity recognition (NER) is another method that scans the given text for known entities, such as proper and common nouns, and returns relevant information about those entities.
Part-of-speech analysis is a linguistic tool that breaks up the given text into a series of sentences and tokens for various NLP tasks.
Summarization is a tool that analyzes text content and provides a summary of the text.
Content classification is another method that analyzes text content and assigns a category to the content.