https://github.com/grupoudea/twitter-sentiment-analysis-front

This repo store a simple front app for to solve sentiment analysis problem using twitter dataset. The frontend consumes a backend written in Python that use a LSTM as neural network to solve natural language procesing problems.
https://github.com/grupoudea/twitter-sentiment-analysis-front

Last synced: 6 days ago
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This repo store a simple front app for to solve sentiment analysis problem using twitter dataset. The frontend consumes a backend written in Python that use a LSTM as neural network to solve natural language procesing problems.

• Host: GitHub
• URL: https://github.com/grupoudea/twitter-sentiment-analysis-front
• Owner: grupoudea
• Created: 2023-05-09T01:04:52.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2023-05-23T01:43:47.000Z (about 3 years ago)
• Last Synced: 2025-10-17T08:26:02.638Z (9 months ago)
• Language: TypeScript
• Size: 188 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Text Sentiment Analysis Clasification

Se implementa un modelo de entrenamiento de lenguaje natural para la clasificación de analisis de sentimientos. Este modelo será capaz de procesar y comprender el texto en diferentes contextos y clasificarlo en categorías como positivo, negativo o neutral.

## Captura de pantalla

![alt text](public/screen.png)

## Getting Started

First, run the development server:

```bash

npm run dev

# or

yarn dev

# or

pnpm dev

```

Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.