In this chapter, we discussed the evaluation of NLP systems (POS tagger, stemmer, and morphological analyzer). You learned about various metrics used for performing the evaluation of NLP systems based on error identification, lexical matching, syntactic matching, and shallow semantic matching. We also discussed parser evaluation performed using gold data. Evaluation can be done using three metrics, namely Precision, Recall, and F-Measure. You also learned about the evaluation of IR system.
Mastering Natural Language Processing with Python
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Mastering Natural Language Processing with Python
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Overview of this book
<p>Natural Language Processing is one of the fields of computational linguistics and artificial intelligence that is concerned with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning.</p>
<p>This book will give you expertise on how to employ various NLP tasks in Python, giving you an insight into the best practices when designing and building NLP-based applications using Python. It will help you become an expert in no time and assist you in creating your own NLP projects using NLTK.</p>
<p>You will sequentially be guided through applying machine learning tools to develop various models. We’ll give you clarity on how to create training data and how to implement major NLP applications such as Named Entity Recognition, Question Answering System, Discourse Analysis, Transliteration, Word Sense disambiguation, Information Retrieval, Sentiment Analysis, Text Summarization, and Anaphora Resolution.</p>
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Table of Contents (17 chapters)
Mastering Natural Language Processing with Python
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Working with Strings
Statistical Language Modeling
Morphology – Getting Our Feet Wet
Parts-of-Speech Tagging – Identifying Words
Parsing – Analyzing Training Data
Semantic Analysis – Meaning Matters
Sentiment Analysis – I Am Happy
Information Retrieval – Accessing Information
Discourse Analysis – Knowing Is Believing
Evaluation of NLP Systems – Analyzing Performance
Index
Customer Reviews