Natural Language Processing with Graphs

Graph databases are a type of NoSQL database that use a graph data model and can be used in a variety of natural language processing techniques.

This video provides an overview of graph databases, followed by a survey of the role for graph databases in natural language processing tasks, including:

• modeling text as a graph
• mining word associations from a text corpus using a graph data model and
• mining opinions from a corpus of product reviews.

It concludes with a demonstration of how graphs can enable content recommendation based on keyword extraction.

This video is important for us to learn how a text can be represented as a graph and how NLP-related operations can be done on that graph.