LogBERT

This document provides instructions for setting up and running two Python scripts evaluate log level quality.

Installation

Prerequisites

• Python 3.6 or higher
• pip (Python package installer)

Setting Up the Environment

1. Create a Virtual Environment:

   • Open a terminal (Command Prompt or Bash).
   • Navigate to the project directory.
   • Run the following command to create a virtual environment:

     python -m venv venv

   • This will create a new directory venv in your project folder.

2. Activate the Virtual Environment:

   • On Windows, run:

     venv\Scripts\activate

   • On macOS or Linux, run:

     source venv/bin/activate

3. Install Dependencies:

   • Ensure your virtual environment is active.
   • Install required packages by running:

     pip install pandas tensorflow transformers sklearn numpy

Running the Scripts

1. Log Level Classification:

   • Ensure the virtual environment is active and you are in the project directory.
   • Run the script using:

     python log_level.py

2. Linguistic Structure Classification:

   • Follow the same steps as for Script 1, but use linguistic.py:

     python linguistic.py

Deactivating the Virtual Environment

• Once you are done, you can deactivate the virtual environment by running:

  deactivate

PDF Files

This repository includes two PDF files that complement the Python scripts and provide additional context and information about the research and methods used in this project.

1. Research Paper (research_paper.pdf):

   • This file contains the in-depth research paper associated with the project.
   • It provides a detailed explanation of the methodologies, data analysis, results, and conclusions.
   • Ideal for readers who are looking for a comprehensive understanding of the research work.

2. Overview (overview.pdf):

   • This file is a slide deck that offers a simple introduction to the topic.
   • It summarizes the key points and findings of the research paper.
   • Perfect for those who need a quick understanding of the project's objectives and outcomes.