https://github.com/rayyan9477/sentiment-analysis-model

This project implements a comprehensive pipeline for cleaning and processing text data, followed by training and evaluating machine learning models for sentiment analysis. It leverages Python, NLTK for natural language processing, scikit-learn for machine learning tasks, and Plotly for data visualization.
https://github.com/rayyan9477/sentiment-analysis-model

data-science machine-learning machine-learning-algorithms natural-language-processing nltk-python python sentiment-analysis

Last synced: about 2 months ago
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This project implements a comprehensive pipeline for cleaning and processing text data, followed by training and evaluating machine learning models for sentiment analysis. It leverages Python, NLTK for natural language processing, scikit-learn for machine learning tasks, and Plotly for data visualization.

• Host: GitHub
• URL: https://github.com/rayyan9477/sentiment-analysis-model
• Owner: Rayyan9477
• License: mit
• Created: 2024-08-28T17:14:57.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-08-28T20:24:53.000Z (4 months ago)
• Last Synced: 2024-08-29T19:41:32.418Z (4 months ago)
• Topics: data-science, machine-learning, machine-learning-algorithms, natural-language-processing, nltk-python, python, sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 1.97 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Sentiment Analysis Model

## Summary

This project implements a comprehensive pipeline for cleaning and processing text data, followed by training and evaluating machine learning models for sentiment analysis. It leverages Python, NLTK for natural language processing, scikit-learn for machine learning tasks, and Plotly for data visualization. Techniques used include tokenization, stopword removal, stemming, and feature extraction using CountVectorizer. The pipeline ensures a robust and efficient workflow for text data analysis and sentiment classification.

## Requirements

- Python 

- pandas

- numpy

- scikit-learn

- plotly

- nltk

You can install all the required packages using the following command:

```sh

pip install -r requirements.txt

```

## How to Run the Project

1. Clone the repository:

    ```sh

    https://github.com/Rayyan9477/Sentiment-Analysis-Model

    cd Sentiment Analysis Model

    ```

2. Install the required packages:

    ```sh

    pip install -r requirements.txt

    ```

3. Run the main script:

    ```sh

    python app.py

    ```

## Project Structure

```

Sentiment Analysis Model/

│

├── twiiter_training.csv

├── twitter_validation.csv

├── app.ipynb

├── requirements.txt

├── README.md

└── app.py

```

## Screenshot

![Project Screenshot](https://github.com/Rayyan9477/Sentiment-Analysis-Model/blob/main/plot.png)

## Video Demo

[Watch the video demonstration](https://github.com/Rayyan9477/Sentiment-Analysis-Model/blob/main/video_demo.mp4)

## Contact

- LinkedIn: [Rayyan Ahmed](https://www.linkedin.com/in/rayyan-ahmed9477/)

- Email: [email protected]