Sentiment Analysis Using BERT

Oct 26, 2023 · 1 min read

Institution

National University of Sciences and Technology, Islamabad, Pakistan
Oct 2023 - Dec 2023

Project Description

In this project, I implemented a Sentiment Analysis model using BERT (Bidirectional Encoder Representations from Transformers). BERT is a powerful natural language processing (NLP) model that captures contextual information, enabling more accurate sentiment analysis.

Project Highlights

  • Developed a sentiment analysis model using state-of-the-art BERT architecture.
  • Utilized pre-trained BERT models for transfer learning to enhance model performance.
  • Conducted extensive data preprocessing to prepare text data for model training.
  • Implemented the model in Python, leveraging popular NLP libraries such as Transformers and TensorFlow.

Technical Skills Acquired

  • Python
  • Natural Language Processing (NLP)
  • BERT
  • Machine Learning
  • Data Preprocessing
NLP Deep Learning BERT Sentiment Analysis
Bilal Sarwar
Authors
Bilal Sarwar
Research Assistant