Question: Explain this named entity recognition code Code: import spacy nlp = spacy.load(en_core_web_sm) doc = nlp(The Mona Lisa is a painting by Leonardo da Vinci) for

Explain this named entity recognition code

Code:

import spacy

nlp = spacy.load("en_core_web_sm")

doc = nlp("The Mona Lisa is a painting by Leonardo da Vinci")

for ent in doc.ents:

print(ent.text, ent.start_char, ent.end_char, ent.label_)

Output :

The Mona Lisa 0 13 ORG

Leonardo da Vinci 31 48 PERSON

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

Q:

This is the code for named entity recognition in NLP. The code is done using spacy import spacy nlp = spacy.load("en_core_web_sm") doc = nlp("Apple is looking at buying U.K. startup for $1 billion")...

Q:

Explain this named entity recognition code Code: #setting entity annotation import spacy from spacy.tokens import Span nlp = spacy.load("en_core_web_sm") doc = nlp("Video streaming subscriptions fall...

Q:

Good communication is just as stimulating as black coffee and just as hard to sleep after. - Anne Morrow Lindbergh In May 2021, David Black, CEO of Blackbox, ended his Zoom call with a sense of...

Q:

Which of the following statements about name entity recognition is false? Question 6 options: NLP can determine what a text is about. A key aspect of this is named entity recognition, which attempts...

Q:

3. Consider the following document snippet, taken from Wikipedia: On 28 June 1999, Jack Ma and 17 friends and students founded Alibaba.com, a China-based B2B marketplace site, in his Hangzhou...

Q:

2.2 points) Consider Named Entity Recognition and Classification (NERC) for entity types person (PER), location (LOC) and quantities of money (MON). a) Write generic NERC regular expressions that...

Q:

The goal of this assignment is to focus on Word Embedding and Named Entity Recognition ( NER ) . You will work with a dataset containing sentences tagged with POS and named entity labels. The...

Q:

Research Report: Exploring the Frontiers of Natural Language Processing ( NLP ) . Abstract Natural language processing ( NLP ) is a rapidly developing science that focuses on the complex interaction...

Q:

In this article, I will take you through 20 Deep Learning projects with Python programming language solved and explained for free. Certification \& Spoof Bounties Liveness.com Deep learning is a...

Q:

Develop a use case diagram for a Twitter analytics system that we shall call Tweetanalytics. Twitter today has become a voice for many consumers, and companies and brands are very interested in...

Q:

What are the key strategic options in supply chain management?

Q:

Thomson Companys cost and production data for two recent months included the following: Required: a. Separately calculate the rental cost per unit and the utilities cost per unit for both January and...

Q:

You owned 3 2 0 0 of a given stock last week and today that same amount of stock is worth 4 5 0 0

Q:

Questions Q1. Write a Python program to retrieve the first and last colors from the following list: color_list = ["red", "green", "white", "blue", "black") Q2. Given the following dictionary,...

Q:

Compared with doctors who are paid on a fee-for-service basis by health insurers, doctors who are paid on a capitated (per-patient) basis have incentives to provide too much care.

Q:

In part, physicians salaries are higher than secretaries salaries because it takes more years to train to become a physician than it does to become a secretary.

Q:

In Canada, unlike in the US, the gap between rich children and poor children in health status does not widen as children age.