Natural Language Processing

Natural Language Processing is all about methods and applications that enables machines to process and understand human language. Recent developments in deep learning has advanced the field enabling researchers to handle complex real world NLP problems. Its now possible to quickly build state-of-the-art end-to-end models and apply them to real world data.

Our team would use these recent advances to build NLP pipelines to extract logic from text for real business use cases. We focus on building data ingestion pipelines that gathers data from various sources to feed in to NLP tools, building individual modules for unstructured data analysis such as named entity recognition, relation extraction, coreference resolution, machine translation, sentiment analysis and event extraction.