June 2020
Intermediate to advanced
322 pages
7h 25m
English
Content preview from Practical Data Analysis Using Jupyter Notebook
Practical Sentiment Analysis
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This is going to be a fun chapter. In this chapter, we will explore and demonstrate some practical examples of using Natural Language Processing (NLP) concepts to understand how unstructured text can be turned into insights. In Chapter 10, Exploring Text Data and Unstructured Data, we explored the Natural Language Toolkit (NLTK) library and some fundamental features of working with identifying words, phrases, and sentences. In that process of tokenizing, we learned how to work with data and classify text, but did not go beyond that. In this chapter, we will learn about sentiment analysis, which predicts the underlying tone of text that's input into an algorithm. We will break down the elements that make up an ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.