sentimeter

Sentiment Analysis Web App

A Sentiment Analysis Web App built with React and Tailwind CSS, using the Sentiment.js library with the AFINN-165 wordlist for analyzing the sentiment of English text. This app provides real-time sentiment analysis and returns whether the sentiment is positive, negative, or neutral based on the input text.

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Overview

The Sentiment Analysis Web App allows users to input any English text and analyzes the sentiment using the AFINN-165 wordlist from the Sentiment.js library. Based on the analysis, the app classifies the sentiment as Positive, Negative, or Neutral and displays a corresponding sentiment score.

The front-end of the application is developed with React and styled using Tailwind CSS for a clean, responsive user interface.

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Features

• Real-Time Sentiment Analysis: Instant feedback on sentiment classification (positive, negative, neutral) as you type or submit text.
• Clean & Modern UI: Built with Tailwind CSS, ensuring a simple yet elegant design that adapts to any screen size.
• Sentiment Score: Each analysis includes a numerical sentiment score, showing the strength of the sentiment.
• Instant Results: Get immediate feedback as soon as text is entered, making the app perfect for quick sentiment checks.

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Tech Stack

• Frontend:
  • React.js
  • Tailwind CSS
• Sentiment Analysis:
  • Sentiment.js (utilizing the AFINN-165 wordlist for sentiment scoring)
• Development Tools:
  • npm / Yarn (for package management)

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Installation

To get this app running locally, follow these simple steps:

Prerequisites

• Node.js (v14.x or later)
• npm or Yarn (a package manager of your choice)

Setup Instructions:

1. Clone the repository:

   git clone https://github.com/AlparslanAbdikoglu/sentimeter.git
   cd sentiment / project

2. Install dependencies:

   • Using npm:

     npm install

   • Or using Yarn:

     yarn install

3. Start the development server:

   • If you’re using npm:

     npm run dev

   • Or with Yarn:

     yarn run dev

4. Access the app in your browser at http://localhost:3000.

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Usage

Once the app is running, follow these steps to use it:

1. Open the app in your browser.
2. Type or paste any English text into the input field.
3. The app will instantly analyze the sentiment and display one of the following results:
   • Positive: The text has a positive sentiment.
   • Negative: The text has a negative sentiment.
   • Neutral: The text has no significant sentiment.
4. The sentiment score will be displayed alongside the label. A positive score indicates positive sentiment, a negative score indicates negative sentiment, and a score of 0 indicates neutral sentiment.

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Example

Input:

I absolutely love this product! It's amazing and works flawlessly.

Output:

• Sentiment: Positive
• Score: +4

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Additional Notes:

• The AFINN-165 wordlist is used for the sentiment analysis. This wordlist is a pre-compiled list of words with sentiment scores, which allows for a straightforward analysis of English text sentiment.
• The app is designed to work exclusively with **English text for the time being **.

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