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Python Natural Language Processing Cookbook

You're reading from Python Natural Language Processing Cookbook Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781838987312

Length 284 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Mobile Application Development

Author (1):

Zhenya Antić

View More author details

Table of Contents (10) Chapters

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: Building Chatbots

8. Chapter 8: Visualizing Text Data

9. Other Books You May Enjoy

Topic modeling of short texts

In this recipe, we will be using Yelp reviews. These are from the same dataset that we used in Chapter 3, Representing Text: Capturing Semantics. We will break the reviews down into sentences and cluster them using the gsdmm package. The resulting clusters should be about similar aspects and experience, and while many reviews are about restaurants, there are also other reviews, such as those concerning nail salon ratings.

Getting ready

To install the gsdmm package, you will need to create a new folder and then either download the zipped code from GitHub (https://github.com/rwalk/gsdmm) or clone it into the created folder using the following command:

git clone https://github.com/rwalk/gsdmm.git

Then, run the setup script in the folder you installed the package in:

python setup.py install

How to do it…

In this recipe, we will load the data, divide it into sentences, preprocess it, and then use the gsdmm model to cluster the sentences...

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Authors (1)

Zhenya Antić

Zhenya Antić

Zhenya Antić, Ph.D. is an expert in AI and NLP. She is currently the Director of AI Automation at Arch Insurance, where she leads initiatives in Intelligent Document Processing and applies various AI solutions to complex problems. With extensive consulting experience, Zhenya has worked on numerous NLP projects with various companies. She holds a Ph.D. in Linguistics from the University of California, Berkeley, and a B.S. in Computer Science from the Massachusetts Institute of Technology.

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