Reader small image

You're reading from  Mastering Data Mining with Python - Find patterns hidden in your data

Product typeBook
Published inAug 2016
Reading LevelIntermediate
Publisher
ISBN-139781785889950
Edition1st Edition
Languages
Concepts
Right arrow
Author (1)
Megan Squire
Megan Squire
author image
Megan Squire

Megan Squire is a professor of computing sciences at Elon University. Her primary research interest is in collecting, cleaning, and analyzing data about how free and open source software is made. She is one of the leaders of the FLOSSmole.org, FLOSSdata.org, and FLOSSpapers.org projects.
Read more about Megan Squire

Right arrow

Why look for named entities?


Named Entity Recognition (NER) is the act of locating certain people, places, and things in a larger body of text. Finding the specific entities that are being discussed in a text is a critical task for creating better chatbots, for creating better Question Answering (QA) systems, or for helping speech recognition systems do a better job. When I am preparing dinner in my kitchen, if I ask Amazon Echo to tell me about meatloaf, will I get a description of the food, or of Meatloaf the musician? (For those who are wondering, I tried this at home and Echo responded with a description of the musician!)

Note

Named entity recognition should not be confused with the tasks we performed in Chapter 3, Entity Matching, earlier in this book. The two tasks are similar in that they both deal with nouns, called entities, but the comparison ends there. While NER tries to locate the entities in text, EM tries to figure out whether two entities are the same thing.

Named entity recognition...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Mastering Data Mining with Python - Find patterns hidden in your data
Published in: Aug 2016Publisher: ISBN-13: 9781785889950

Author (1)

author image
Megan Squire

Megan Squire is a professor of computing sciences at Elon University. Her primary research interest is in collecting, cleaning, and analyzing data about how free and open source software is made. She is one of the leaders of the FLOSSmole.org, FLOSSdata.org, and FLOSSpapers.org projects.
Read more about Megan Squire