Offensive-Language-Identification-System

A system for OffensEval (SemEval 2019 Task 6), which calls to identify offensive language. The project aims to identify offensive statements in inputs provided by the user. The users can give their inputs as a text or a file depending on the size of the text and their convenience. This is implemented using a web application.

Tools used:

• Python
• Flask
• HTML and CSS
• JavaScript
  

Models implemented:

1. Naive Bayes Classification
   • Accuracy: 71%
   • Excecution time: 0.01s
2. Long Short-term Memory (LSTM)
   • Accuracy: 75%
   • Execution time: 0.28s

Web App screenshots:

📜 To learn more about the project, you can read this.☜