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NLTK
The Natural Language Toolkit (NLTK) is one of the most commonly used open-source NLP toolkit that is made
up of Python libraries and is used for building programs that help in synthesis and statistical analysis of human
language processing. The text processing libraries do text processing through tokenization, parsing, classification,
stemming, tagging and semantic reasoning.
Installing NLTK
To install NLTK open command prompt in your computer and type:
pip install nltk
Downloading NLTK data
After the installation of NLTK, import nltk:
import nltk
then next step is to install all the packages of nltk:
nltk.download()
It will show the NLTK Downloader dialog box. Now click on the download button to install various packages
related to NLTK.
Some important commands of NLTK:
Tokenization is the process of converting large textual data into smaller parts called tokens. These tokens help in
nlp for finding patterns and are used for further processing through stemming and lemmatization.
Tokenizing a sentence will split big sentences into smaller sentences.
[1]: data="Hello friends. Hope you are enjoying doing NLP. Wish you a wonderful experience"
from nltk.tokenize import sent_tokenize
sent_token=sent_tokenize(data)
print(sent_token)
['Hello friends.', 'Hope you are enjoying doing NLP.', 'Wish you a wonderful experience']
Advance Python (Practical) 469

