Identifying-Part-of-Speech-from-English-Language-using-Python

This is a Python project that demonstrates how to identify the part-of-speech (POS) of words in the English language using the Natural Language Toolkit (NLTK) library.

Description

Part-of-speech tagging is the process of assigning a grammatical tag to each word in a given text. In this project,NLTK's POS tagging functionality is used to analyze and tag words based on their part of speech, such as nouns, verbs, adjectives, pronouns, and more.

Features

• Tokenization of text into individual words or sentences.
• POS tagging of words using NLTK's built-in tagger.
• Identification of nouns, verbs, adjectives, and pronouns in the text.

Requirements

• Python 3.x
• NLTK library

pip intall -r requirements.txt

Usage

1. Install required library.
2. Run the Python script main.py to see an example of how to identify the part-of-speech in a given text.
3. Customize the script to process your own text.

Contributing

Contributions are welcome! If you have any ideas, suggestions, or improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Acknowledgements

• The Natural Language Toolkit (NLTK) library: https://www.nltk.org/