simple_text_classification

This repository is designed for full-stack assessment.

Table of Contents

• Introduction
• Steps
• Expected Outcome

Introduction

The developer must design a free hosted UI for the Python code in this repository. This is a sentiment classification code that displays results as "POSITIVE" or "NEGATIVE" based on the sentiment of the input text. The algorithm also gives word redundancy and highlights repeated words.

Steps

What are the steps in this project?

1. Please clone this repository and download all of the requirements from (requirements.txt) into your virtual environment.
2. Download the model from this link.
3. Create a UI based on the model and code.
4. Host this project as a webapp on a free hosted service.

What is expected from you?

For assement submission please fill this google form

IMPORTANT: Please keep in mind that all open-source and free services should be used to host this application.

Following are deliverables for your submission:

1. The URL of the webapp that you hosted.
2. A detailed description of your implementation.(What deployment services did you employ? Where did you obtain the domain? and related information)
3. OPTIONAL: You can play with the code and create your own features (based on NLP, transformers, or rule-based logic) to improve app usability.

The UI should look like this:

License

LICENSE