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Python Data Analysis - Third Edition

You're reading from  Python Data Analysis - Third Edition

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781789955248
Pages 478 pages
Edition 3rd Edition
Languages
Authors (2):
Avinash Navlani Avinash Navlani
Profile icon Avinash Navlani
Ivan Idris Ivan Idris
Profile icon Ivan Idris
View More author details
Toc

Table of Contents (20) Chapters close

Preface 1. Section 1: Foundation for Data Analysis
2. Getting Started with Python Libraries 3. NumPy and pandas 4. Statistics 5. Linear Algebra 6. Section 2: Exploratory Data Analysis and Data Cleaning
7. Data Visualization 8. Retrieving, Processing, and Storing Data 9. Cleaning Messy Data 10. Signal Processing and Time Series 11. Section 3: Deep Dive into Machine Learning
12. Supervised Learning - Regression Analysis 13. Supervised Learning - Classification Techniques 14. Unsupervised Learning - PCA and Clustering 15. Section 4: NLP, Image Analytics, and Parallel Computing
16. Analyzing Textual Data 17. Analyzing Image Data 18. Parallel Computing Using Dask 19. Other Books You May Enjoy

Sentiment analysis using text classification

A business or data analyst needs to understand customer feedback and reviews about a specific product. What did customers like or dislike? And how are sales going? As a business analyst, you need to analyze these things with reasonable accuracy and quantify customer reviews, feedback, opinions, and tweets to understand the target audience. Sentiment analysis extracts the core information from the text and provides people's perception of products, services, brands, and political and social topics. Sentiment analysis is used to understand customers' and people's mindset. It is not only used in marketing, we can also use it in politics, public administration, policy-making, information security, and research. It helps us to understand the polarity of people's feedback. Sentiment analysis also covers words, tone, and writing style.

Text classification can be one of the approaches used for sentiment analysis. It is a supervised...

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