NLTK

NLTK:

NLTK (Natural Language Toolkit) is a Python library widely used for natural language processing (NLP) tasks. It provides tools and resources for tokenization, stemming, lemmatization, part-of-speech tagging, parsing, semantic reasoning, and more. NLTK is designed to assist researchers, students, and developers build NLP applications.

To use NLTK, you first need to install it. You can install NLTK using pip, the Python package installer, by running the following command:

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pip install nltk

Once installed, you can import NLTK in your Python code using the following statement:

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import nltk

NLTK provides various corpora, linguistic resources, and algorithms for NLP tasks. For example, it includes multiple corpora such as the Brown Corpus, Gutenberg Corpus, and WordNet.

 You can download these resources using the nltk.download() function. For instance, to download the Gutenberg Corpus, you can run:

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nltk.download(‘gutenberg’)

NLTK also offers numerous functions and classes for performing NLP tasks.

Here is an example that demonstrates tokenization using NLTK:

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import nltk

text = “NLTK is a powerful tool for natural language processing.”

tokens = nltk.word_tokenize(text)

print(tokens)

The output would be a list of tokens:

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[‘NLTK,’ ‘is, ”a’, ‘powerful,’ ‘tool,’ ‘for,’ ‘natural,’ ‘language,’ ‘processing,.’ ”]

NLTK provides many more functionalities and resources for NLP. Refer to the NLTK documentation for more information and examples: https://www.nltk.org/.