All businesses will be affected by NLP & AI in the coming years.
Learn what it means for your business.
of technical leaders indicated their NLP budget was at least 10% higher compared to 2020
stating their budget was at least 30% higher than the previous year
North America and Asia are predicted to undergo the largest increases in revenue in the AI software market, with AI expected to contribute over 10% to the GDP in both regions in 2030.
Document classification or text categorization is the task of assigning a document to one or more classes or categories.
Named-entity recognition (NER) or Entity Extraction finds named entities mentioned in unstructured text such as names, organizations, locations, or medical diagnoses.
Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing to identify, extract, quantify, and study affective states and subjective information.
SHM Foundation applies advanced analytics to improve mental health among HIV positive adolescents in South Africa
Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources.
In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP).
Spark NLP in action: intelligent, high-accuracy fact extraction from long financial documents
This workshop is aimed primarily at business leaders new to NLP and AI, and its focus is on understanding what NLP is and means in a business context. It encompasses various concepts from how NLP can benefit revenue, costs, customers and competition, to real business application case studies, while considering the bigger picture questions, including ethical ones.
Demos
