Product Lead at John Snow Labs
Dia Trambitas is a computer scientist with a rich background in Natural Language Processing. She has a Ph.D. in Semantic Web from the University of Grenoble, France, where she worked on ways of describing spatial and temporal data using OWL ontologies and reasoning based on semantic annotations. She then changed her interest to text processing and data extraction from unstructured documents, a subject she has been working on for the last 10 years. She has a rich experience working with different annotation tools and leading document classification and NER extraction projects in verticals such as Finance, Investment, Banking, and Healthcare.
WATCH LIVE: November 18 @ 1:50PM – 2:10PM ET
This session shows how to use the different types of emotion analysis and sentiment analysis that are part of the Spark NLP open-source library. Spark NLP if the most widely used NLP library in the enterprise and comes with over 250 pre-trained
models that automatically detect the emotional tone of text (such as joy, anger, fear, or surprise), the sentiment of the whole text of specific aspects in it (like what people thought about a restaurant’s food versus its service or price), whether text seems
sarcastic, fake, or includes toxic language such as threats, insults, obscenity or hate speech. This session will show examples along with Python notebooks that will show you how you can easily put this free library to good use.