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A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.

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Sentiment Analysis Project

Description

This project utilizes the Stanford Natural Language Processing (NLP) library to perform sentiment analysis on given text. With a simple GUI, users can input any text and receive an analysis of its sentiment, ranging from "Very Negative" to "Very Positive".

Features

  • Intuitive GUI: Easy-to-use graphical interface to input text and view results.
  • Stanford NLP Integration: Utilizes the Stanford NLP library for accurate sentiment analysis.

Installation

  1. Clone this repository to your local machine.
  2. Ensure you have the Stanford NLP library and its dependencies installed.
  3. Compile and run the main GUI class.

Usage

  1. Input any text into the provided text area.
  2. Click the "Analyze" button.
  3. View the sentiment result displayed below the input area.

Future Work

  • Multiple Language Support: Planning to add support for multiple languages in the future.
  • Extended Analysis: Working on including more detailed sentiment metrics.

Contributing

Contributions are welcome! If you have improvements or fixes, please raise an issue first before making a pull request.

License

This project is open source, under the MIT License.


Last updated: [16/08/2023] - Currently undergoing updates.

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A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.

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