How to download the NLTK library?

How to download the NLTK library?

How to download the NLTK library?

This recipe helps you download the NLTK library


Recipe Objective

How to download the NLTK library which is nothing but the Natural Language Processing Toolkit and how to download Specific packages from the NLTK library

Step 1 - Install the NLTK library using pip command

pip install nltk

If it is already installed or present in your notebook, it will prompt Requirement already Satisfied otherwise it will start downloading and start installing the NLTK library in your notebook

Step 2 - Import the NLTK library

import nltk

By using the above command you can import the nltk library for your further operations

Step 3 - Installing All from NLTK library'all')

If we want to download all packages from the NLTk library then by using the above command we can download the packages which will unzipp all the packages from NLTK Corpus like for e.g. Stemmer, lemmatizer and many more.

Step 3 - Downloading lemmatizers from NLTK'wordnet') from nltk.stem import WordNetLemmatizerd

from the above we can see that how to download WordNetLemmatizer from NLTK library and how to import it for further operations

Step 4 - Downloading stop words from NLTK'stopwords')

By using the above command we will be able to Download stopwords from NLTK library

Relevant Projects

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Solving Multiple Classification use cases Using H2O
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

Sequence Classification with LSTM RNN in Python with Keras
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.