https://github.com/ajaykumar095/natural_language_processing

Explore cutting-edge Natural Language Processing (NLP) techniques in this GitHub repository. Includes pre-trained models, custom NLP pipelines, text preprocessing tools, sentiment analysis, text classification, and more. Ideal for research, learning, and deploying NLP solutions in Python.
https://github.com/ajaykumar095/natural_language_processing

ann nltk-python python rnn spacy tensorflow text-preprocessing textblob

Last synced: 4 days ago
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Explore cutting-edge Natural Language Processing (NLP) techniques in this GitHub repository. Includes pre-trained models, custom NLP pipelines, text preprocessing tools, sentiment analysis, text classification, and more. Ideal for research, learning, and deploying NLP solutions in Python.

• Host: GitHub
• URL: https://github.com/ajaykumar095/natural_language_processing
• Owner: AjayKumar095
• License: apache-2.0
• Created: 2024-12-14T06:19:56.000Z (12 days ago)
• Default Branch: main
• Last Pushed: 2024-12-21T11:24:54.000Z (5 days ago)
• Last Synced: 2024-12-21T12:18:26.030Z (5 days ago)
• Topics: ann, nltk-python, python, rnn, spacy, tensorflow, text-preprocessing, textblob
• Language: Jupyter Notebook
• Homepage:
• Size: 354 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Learning NLP Repository

This repository is designed for learning and practicing Natural Language Processing (NLP) concepts and techniques. It provides an extensive list of Python libraries that cater to various tasks in NLP, such as preprocessing, feature extraction, model building, visualization, and evaluation.

## Prerequisites

Before diving into NLP with this repository, ensure you meet the following prerequisites:

1. **Basic Python Knowledge**: Familiarity with Python programming, including data structures, loops, and functions.

2. **Understanding of Machine Learning Concepts**: Basic knowledge of machine learning concepts like classification, regression, and clustering.

3. **Development Environment**: Set up Python 3.8+ on your system.

4. **Libraries and Frameworks**: Install the libraries listed in `requirements.txt` using the following command:

   ```bash

   pip install -r requirements.txt

   ```

5. **NLP Basics**: Knowledge of tokenization, stopword removal, stemming, and lemmatization is helpful.

6. **Git**: Install Git to clone and manage this repository.

   ```bash

   git clone https://github.com/AjayKumar095/Natural_Language_Processing.git

   ```

## Features

This repository includes:

- Tools for text preprocessing (e.g., `nltk`, `spacy`, `textblob`)

- Libraries for machine learning and deep learning (`scikit-learn`, `tensorflow`, `torch`)

- State-of-the-art models with `transformers` and `flair`

- Utilities for visualization (`matplotlib`, `seaborn`, `wordcloud`)

- Web scraping and XML/HTML processing tools (`beautifulsoup4`, `lxml`)

- Sentence embeddings and topic modeling utilities

## Getting Started

1. Clone the repository:

   ```bash

   git clone 

   ```

2. Navigate to the project directory:

   ```bash

   cd 

   ```

3. Install the dependencies:

   ```bash

   pip install -r requirements.txt

   ```

4. Explore the included scripts and start building NLP projects.

## Contribution

Contributions are welcome! If you have any additional NLP-related tools, scripts, or improvements, feel free to submit a pull request.

## License

This repository is available under the Apache License.