One way to improve classification performance is to combine classifiers. The simplest way to combine multiple classifiers is to use voting, and choose whichever label gets the most votes. For this style of voting, it's best to have an odd number of classifiers so that there are no ties. This means combining at least three classifiers together. The individual classifiers should also use different algorithms; the idea is that multiple algorithms are better than one, and the combination of many can compensate for individual bias. However, combining a poorly performing classifier with better performing classifiers is generally not a good idea, because the poor performance of one classifier can bring the total accuracy down.
Python 3 Text Processing with NLTK 3 Cookbook
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Python 3 Text Processing with NLTK 3 Cookbook
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Overview of this book
Table of Contents (17 chapters)
Python 3 Text Processing with NLTK 3 Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Tokenizing Text and WordNet Basics
Replacing and Correcting Words
Creating Custom Corpora
Part-of-speech Tagging
Extracting Chunks
Transforming Chunks and Trees
Text Classification
Distributed Processing and Handling Large Datasets
Parsing Specific Data Types
Penn Treebank Part-of-speech Tags
Index
Customer Reviews