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Natural Language Processing II - NLP Tasks

The methods of supervised and unsupervised learning can be applied to data that arises in non-numeric or non-categorical formats, such as text or images. The challenge there is often to find a way to transform the unstructured data into structured objects that can be fed into classification or clustering algorithms, say. In this course, we discuss other applications of natural language processing: named-entity recognition, semantic parsing, summarization, etc.

Category: Machine Learning and AI Basics
Tags: Instructor Led,Self Guided,Text Mining and Natural Language Processing,Learning by Doing
Product Code: NLP-2
Course Duration (hours): 6

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