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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

Machine Learning

Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.

Machine learning algorithms are fed with large amounts of data that they can work on to build a model. This model is later used by businesses to generate solutions that help them analyze data and build strategies for the future. For example, a beverage production company can make use of multiple datasets to better understand the trends of their product's consumption over the course of a year. This would help them reduce wastage and better predict the requirements of their consumers. Machine learning is further categorized into unsupervised and supervised learning. Let's explore these two terms in detail.

Unsupervised Learning

Unsupervised learning is the method by which algorithms learn patterns within data that is not labeled. Since labels...

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