Python Ireland Monthly Meetup

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“Textual Learning in Python – Topic modeling and related techniques for reading text”

Summary:

The talk will start with a brief overview of Python’s main Natural Language Processing (NLP) packages. The focus of the talk will start with a raw dataset of news articles, then going through the pre-processing stages required when working with text, and finally showing how topic modeling can be used to understand the topics of these documents. Topic modeling is a probabilistic inference technique that clusters groups of words and phrases used to identify common topics across
documents. The focus in the talk will be on core Latent Dirichlet Allocation topic modeling, but some of the newer topic model and related techniques will also be explored.

Presenter bio:

Michael Dowling (@MichaelMDowling) is Professor of Finance in Dublin City University, where his research specialises in financial data intelligence. Prior to September 2020, Michael worked in Rennes School of Business, France, where he ran Europe’s first AI-driven business research centre.
More detail is available at: https://cutt.ly/PhTX4c1

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