Natural Language Processing (NLP) is the branch of Artificial Intelligence (AI) that offers insights into textual content.
Natural Language Processing in Punditas AI
Unstructured data which is typically text-heavy makes up for 80% of data. Most of Enterprise Product and Process content is created and stored as textual content. Punditas AI uses NLP and Machine Learning technologies to automatically discover meaning and relationships within textual content. Our NLP Engine identifies and extracts the following

Punditas NLP Engine

Entities Extraction
Entity extraction is the process by which named entities (people, products, date, etc.)
are located and extracted from unstructured textual content. Refer to the section below for content types processed by Punditas
Extracted Entities are leveraged by Punditas AI engine to offer better search experiences for Users as it helps
focus on User intent rather than the keywords used during search

Key Phrase Extraction
Key Phrase extraction is the process by which a list of key phrases or the main concepts
are extracted from the unstructured text.
The pic on the left shows an example data -i.e. Tips for sketching with Creo. Key Phrases extracted by Punditas NLP engine is displayed with phrases underlined.
Extracted Key Phrases are leveraged by Punditas AI engine to offer better search experience
by focusing on User intent rather than the keywords used during search
Data processed by Punditas NLP Engine




















