Home / Learn spaCy / How to get part of speech tags using spaCy
Learn spaCy

How to get part of speech tags using spaCy

This article is part of the Learn spaCy series

What are part of speech tags?

In corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech,[1] based on both its definition and its context. A simplified form of this is commonly taught to school-age children, in the identification of words as nouns, verbs, adjectives, adverbs, etc.

Source

Create a new file called part_of_speech.py and add the following code to it

import spacy

nlp = spacy.load("en_core_web_sm")
doc = nlp("Dialogflow, previously known as api.ai, is a chatbot framework provided by Google. Google acquired API.AI in 2016.")

for tok in doc:
    print(f'Text: {tok.text} Part-of-speech: {tok.pos_}')

Here is the output

See the definition of these part of speech tags

When you expand the tags, you can see that there is a list of universal part of speech tags. These only cover the word type and are available in (presumably) all languages.

There is also a second list of part of speech tags specific to the English language

<— End of article —>


This website contains affiliate links. See the disclosure page for more details. 
"The magic key I needed as a non-programmer"

The custom payload generator was the magic key I needed (as a non-programmer) to build a good demo with rich responses in DialogFlow Messenger. I've only used it for 30 minutes and am thrilled. I've spent hours trying to figure out some of the intricacies of DialogFlow on my own. Over and over, I kept coming back to Aravind's tutorials available on-line. I trust the other functionalities I learn to use in the app will save me additional time and heartburn.

- Kathleen R
Cofounder, gathrHealth
"Much clearer than the official documentation to be honest"

Thanks a lot for the advice (of buying and following your videos)! They helped a lot indeed. Everything is very clear when you explain, much clearer than the official documentation to be honest 🙂

Neuraz T
Review for Learn Dialogflow CX
"I will strongly recommend this course because even I can learn how to design chatbot (no programming background)"

I think Aravind really did a great job to introduce dialogflow to people like me, without programming background. He organizes his course in very clear manner since I have been a college professor for 20 years. It is very easy for me to recognize how great Aravind’s course is! Very use-friend and very easy to follow. He doesn’t have any strong accent when he gives the lectures. It is so easy for me to understand. Really appreciate it.

Yes, I will strongly recommend this course because even I can learn how to design chatbot (no programming background) after studying Avarind’s course, you definitely can!

Ann Cai
Review for Learn Dialogflow ES

Similar Posts