Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras by Bhargav Srinivasa-Desikan

Author:Bhargav Srinivasa-Desikan [Srinivasa-Desikan, Bhargav]
Language: eng
Format: epub, pdf
Tags: COM042000 - COMPUTERS / Natural Language Processing, COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM044000 - COMPUTERS / Neural Networks
Publisher: Packt Publishing
Published: 2018-06-28T23:00:00+00:00

Advanced Topic Modeling

We saw in the previous chapter the power of topic modeling, and how intuitive a way it can be to understand our data, as well as explore it. In this chapter, we will further explore the utility of these topic models, and also on how to create more useful topic models which better encapsulates the topics which may be present in a corpus. Since topic modeling is a way to understand the documents of a corpus, it also means we can analyze documents in ways we have not done before.

In this chapter, we will cover the following topics:

Advanced training tips

Exploring documents

Topic coherence and evaluating topic models

Visualizing topic models

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