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An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.

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Simple Sentiment Text Analysis

Overview

The "Simple Sentiment Text Analysis" project is a Python script that leverages Natural Language Processing (NLP) to analyze text sentiment. It features a user-friendly graphical user interface (GUI) created with customtkinter, enabling easy sentiment analysis for various text inputs.

Prerequisites

Before using the script, ensure you have the following prerequisites installed:

  • Python 3.x
  • TextBlob library (install via pip install textblob)
  • customtkinter library (install via pip install customtkinter)

Getting Started

  1. Clone or download this repository.

  2. Open your terminal or command prompt and navigate to the script directory.

  3. Run the script using the following command:

    python main.py
    

Usage

  1. Launch the script as described above.

  2. Use the GUI to input text you want to analyze.

  3. Click the "Analyse" button to instantly obtain sentiment analysis results: • "Positive" for positive sentiment. • "Negative" for negative sentiment. • "Neutral" for neutral sentiment.

License

This project is open-source under the MIT License. Refer to LICENSE for details.

Acknowledgments

TextBlob: The TextBlob library for sentiment analysis.

customtkinter: The custom GUI library used for the interface.

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An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.

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