Client Background

Client: A leading IT & tech firm in the USA

Industry Type: IT

Products & Services: IT Consulting, IT Support, SaaS

Organization Size: 200+

The Problem

This project aims to classify people and different organizations into two categories using BERT-based models for natural language processing.

Our Solution

  • Utilized pre-trained BERT-based models for text classification.
  • Fine-tuned the models on the sample dataset of the provided dataset for optimal performance.
  • Implemented an evaluation metric to assess the model’s accuracy.
  • Giving the Classification report and accuracy.

Solution Architecture

Deliverables

people-org-classification-using-bert.ipynb

Tech Stack

  • Tools used
  • Kaggle notebook
  • Language/techniques used
  • python, deep learning
  • Models used
  • BERT Based Classifier
  • Skills used
  • Data Science

What are the technical Challenges Faced during Project Execution

The problem was the higher GPU limit is required to process the big dataset.

How the Technical Challenges were Solved

We shifted our notebook from Google Colab to Kaggle Notebook as it offers more GPU usage limits. Also, we took sample data from a given big dataset and processed it quickly.

Business Impact

The project successfully implemented a text classification solution using BERT-based models. The model achieved promising results in classifying people into organizational categories. The documentation outlines the steps from data loading to model training and evaluation, providing a comprehensive project overview.

Project Snapshots

Project Website URL

https://drive.google.com/file/d/1sYlohokwi6e0ITZALvBJvrJkJdL79Rm2/view?usp=sharing

Project Video

https://www.loom.com/share/d1390fced221473ea78d360f5c61fac5

Summarize

Summarized: https://blackcoffer.com/

This project was done by the Blackcoffer Team, a Global IT Consulting firm.

Contact Details

This solution was designed and developed by Blackcoffer Team
Here are my contact details:
Firm Name: Blackcoffer Pvt. Ltd.
Firm Website: www.blackcoffer.com
Firm Address: 4/2, E-Extension, Shaym Vihar Phase 1, New Delhi 110043
Email: ajay@blackcoffer.com
Skype: asbidyarthy
WhatsApp: +91 9717367468
Telegram: @asbidyarthy