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Big Data Analytics with Java

You're reading from Big Data Analytics with Java Data analysis, visualization & machine learning techniques

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (15) Chapters

Preface

1. Big Data Analytics with Java FREE CHAPTER

2. First Steps in Data Analysis

3. Data Visualization

4. Basics of Machine Learning

5. Regression on Big Data

6. Naive Bayes and Sentiment Analysis

7. Decision Trees

8. Ensembling on Big Data

9. Recommendation Systems

10. Clustering and Customer Segmentation on Big Data

11. Massive Graphs on Big Data

12. Real-Time Analytics on Big Data

13. Deep Learning Using Big Data

Index

Chapter 6. Naive Bayes and Sentiment Analysis

A few years back one of my friends and I built a forum where developers could post useful tips regarding the technology they were using. I wished I knew about the Naive Bayes machine learning algorithm then. It could have helped me to filter objectionable content that was posted on that forum. In the previous chapter, we saw two algorithms that can be used to predict continuous values or to classify between discrete sets of values. Both the approaches predicted a definite value (whether it was continuous or discrete), but they did not give us a probability of occurrences of our best guesses. Naive Bayes gives us the predicted results with a probability attached to it, so in a set of results for same category we can pick the one with the highest probability.

In this chapter, we will cover:

General concepts about probability and conditional probability. This section will be basic and users who already know this can skip this section.
We...

The rest of the chapter is locked

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Authors (1)

RAJAT MEHTA

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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