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A Sentiment Analysis model trained using Twitter Dataset and integrated with the streamlit webapp for seamless user-friendly experience.

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gouravAtre/SentimentAnalyser

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Sentiment Analysis using Twitter Dataset

License: MIT

Introduction:

A model that predicts the sentiment of a specific data provided by the user. Designed for the use-case of employee sentiment understanding and efficient planning/deployment of different interventions within an organization.

Developed upon the following technologies

  • NLP
  • Python
  • Streamlit

Table of contents

Product Development

Model Training:
The model training is done using Google collab.
[Click here] to access the Notebook.

Prerequisites

Check the pre-requisites beforehand

  • Windows or Linux OS
  • Data to process and analyze

Usage

Using Firefox/Chrome: Web Interface

Open the link and follow the instructions-
1. 
2.

Possible_Issues

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A Sentiment Analysis model trained using Twitter Dataset and integrated with the streamlit webapp for seamless user-friendly experience.

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