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The Natural Language Processing Workshop

You're reading from  The Natural Language Processing Workshop

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781800208421
Pages 452 pages
Edition 1st Edition
Languages
Authors (6):
Rohan Chopra Rohan Chopra
Profile icon Rohan Chopra
Aniruddha M. Godbole Aniruddha M. Godbole
Profile icon Aniruddha M. Godbole
Nipun Sadvilkar Nipun Sadvilkar
Profile icon Nipun Sadvilkar
Muzaffar Bashir Shah Muzaffar Bashir Shah
Profile icon Muzaffar Bashir Shah
Sohom Ghosh Sohom Ghosh
Profile icon Sohom Ghosh
Dwight Gunning Dwight Gunning
Profile icon Dwight Gunning
View More author details

Table of Contents (10) Chapters

Preface
1. Introduction to Natural Language Processing 2. Feature Extraction Methods 3. Developing a Text Classifier 4. Collecting Text Data with Web Scraping and APIs 5. Topic Modeling 6. Vector Representation 7. Text Generation and Summarization 8. Sentiment Analysis Appendix

7. Text Generation and Summarization

Activity 7.01: Summarizing Complaints in the Consumer Financial Protection Bureau Dataset

Solution

Follow these steps to complete this activity:

  1. Open a Jupyter Notebook and insert a new cell. Add the following code to import the required libraries:
    import warnings
    warnings.filterwarnings('ignore')
    import os
    import csv
    import pandas as pd
    from gensim.summarization import summarize
  2. Insert a new cell and add the following code to fetch the Consumer Complaints dataset and consider the rows that have a complaint narrative. Drop all the columns other than Product, Sub-product, Issue, Sub-issue, and Consumer complaint narrative:
    complaints_pathname = '../data/consumercomplaints/'\
                          'Consumer_Complaints.csv'
    df_all_complaints = pd.read_csv(complaints_pathname)
    df_all_narr = df_all_complaints...
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