Book Image

Mastering Data Mining with Python - Find patterns hidden in your data

By : Megan Squire
Book Image

Mastering Data Mining with Python - Find patterns hidden in your data

By: Megan Squire

Overview of this book

Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding. If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get. By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.
Table of Contents (16 chapters)
Mastering Data Mining with Python – Find patterns hidden in your data
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Techniques for named entity recognition


Before we tackle the strategies for named entity recognition, we should differentiate between some similar terms that we will come across when doing this work. Usually, when English-speakers first begin to think about named entities, they assume named entities are just proper nouns. What is a proper noun? Proper nouns are typically capitalized in English, and refer to a specific named person, place, or thing. Proper names can include proper nouns as well as noun phrases. Alaska, Barack Obama, January, and The Grateful Dead are all proper names. Are all proper nouns and names capitalized? Not necessarily, as we saw with iPhone and iPad, and also eBay, and the author bell hooks. Are all capitalized nouns proper? No. For example, we write the Englishman came around for tea, where Englishman is capitalized, yet Englishman is a common noun in English.

NER is considerably more interesting than just recognizing nouns, or proper nouns. In a linguistic sense...