https://github.com/saajann/sentiment-analysis

Basic Sentiment Analysis
https://github.com/saajann/sentiment-analysis

machine-learning python sentiment-analysis sklearn streamlit

Last synced: about 2 months ago
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Basic Sentiment Analysis

• Host: GitHub
• URL: https://github.com/saajann/sentiment-analysis
• Owner: saajann
• Created: 2025-01-05T15:44:59.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-05T15:54:34.000Z (over 1 year ago)
• Last Synced: 2025-01-05T16:33:22.801Z (over 1 year ago)
• Topics: machine-learning, python, sentiment-analysis, sklearn, streamlit
• Language: Python
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Sentiment Analysis Project

## Overview

This project involves building a sentiment analysis model to classify text as positive or negative using machine learning techniques.

## Project Structure

```

/sentiment-analysis/

├── README.md

├── app.py

├── data

│   └── sentiment_dataset.csv

├── model

│   └── train_model.py

├── sentiment_model.pkl

├── vectorizer.pkl

└── requirements.txt

```

## Installation and Usage

To get started with the project, follow these steps:

1. **Clone the repository:**

    ```sh

    git clone https://github.com/saajann/sentiment-analysis.git

    ```

2. **Navigate to the project directory:**

    ```sh

    cd sentiment-analysis

    ```

3. **Install the required dependencies:**

    ```sh

    pip install -r requirements.txt

    ```

4. **Run the Streamlit application:**

    ```sh

    streamlit run app.py

    ```