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Python Natural Language Processing Cookbook

You're reading from   Python Natural Language Processing Cookbook Over 60 recipes for building powerful NLP solutions using Python and LLM libraries

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781803245744
Length 312 pages
Edition 2nd Edition
Languages
Concepts
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Authors (2):
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Saurabh Chakravarty Saurabh Chakravarty
Author Profile Icon Saurabh Chakravarty
Saurabh Chakravarty
Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Learning NLP Basics 2. Chapter 2: Playing with Grammar FREE CHAPTER 3. Chapter 3: Representing Text – Capturing Semantics 4. Chapter 4: Classifying Texts 5. Chapter 5: Getting Started with Information Extraction 6. Chapter 6: Topic Modeling 7. Chapter 7: Visualizing Text Data 8. Chapter 8: Transformers and Their Applications 9. Chapter 9: Natural Language Understanding 10. Chapter 10: Generative AI and Large Language Models 11. Index 12. Other Books You May Enjoy

Visualizing topics from BERTopic

In this recipe, we will create and visualize a BERTopic model on the BBC data. There are several visualizations available with the BERTopic package, and we will use several of them.

In this recipe, we will create a topic model in a similar fashion as in Chapter 6, in the Topic modeling using BERTopic recipe. However, unlike in Chapter 6, we will not limit the number of topics created, and resulting in more than the 5 original topics in the data. It will allow for more interesting visualizations.

Getting ready

We will use the BERTopic package to create the visualization. It is available in the poetry environment.

How to do it...

  1. Import the necessary packages and functions:
    import pandas as pd
    import numpy as np
    from bertopic import BERTopic
    from bertopic.representation import KeyBERTInspired
  2. Run the language utilities file:
    %run -i "../util/lang_utils.ipynb"
  3. Read in the data:
    bbc_df = pd.read_csv("../data/bbc-text...
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