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sentimentanalysis

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This project provides a simple script for determining the sentiment of a text input using TextBlob library in Python. It also returns the most positive and most negative sentence in the input text. The script can be used as a standalone tool or integrated into other projects.

  • Updated Mar 17, 2023
  • Python

The system is implemented to scrape data from a booking website, perform Emotion Analysis on the reviews of the selected hotel and visualized the result over a time axis. R is used to implement the system and Shiny library is used to develop the Front-end.

  • Updated Jun 6, 2020
  • R

"Detect sarcasm effortlessly! This Python app uses NLP and ML to analyze text sentiment, distinguishing sarcastic tones. With a user-friendly interface, input any text for real-time sarcasm identification. Achieve accurate results through advanced sentiment analysis techniques and trained models."

  • Updated Jan 7, 2024
  • Python

This repository provides examples for using the FreeGPT module, a lightweight Python library for integrating GPT (Generative Pre-trained Transformer) capabilities into various applications. These examples demonstrate how to leverage FreeGPT for a range of tasks.

  • Updated Jun 20, 2024
  • Python

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