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Fine-Tune Transformers for Sentiment Analysis in HuggingFace

AdvancedGuided Project

Harness Hugging Face and PyTorch to fine-tune transformers for sentiment analysis of customer reviews. This project offers hands-on experience in adapting state-of-the-art language models for real-world applications, enhancing your skills in natural language processing, model optimization, and business intelligence to unlock insights from customer feedback.

Language

  • English

Topic

  • Deep Learning

Enrollment Count

  • 107

Skills You Will Learn

  • PyTorch, HuggingFace, Fine-tuning, Sentiment Analysis, Transformers, NLP

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 45 minutes

Platform

  • SkillsNetwork

Last Update

  • November 19, 2025
About this Guided Project
Harness the power of Hugging Face and PyTorch in this comprehensive guided project, where you'll dive into the world of transformer models and their application in sentiment analysis of customer reviews. This project is your gateway to mastering cutting-edge language models, equipping you with the skills necessary to translate raw customer feedback into actionable business insights. By the end of this project, you'll have a deep understanding of how to fine-tune transformers, adapt them for real-world applications, and elevate your proficiency in NLP and model optimization. Whether you're delving into customer sentiment or seeking to bolster your business intelligence, this project offers a robust foundation in NLP.

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What You'll Learn

After completing this project, you will be able to:
  • Understand the architecture and functionality of transformer models, particularly in the context of sentiment analysis.
  • Fine-tune state-of-the-art language models using Hugging Face and PyTorch for specific NLP tasks.
  • Analyze customer reviews to extract meaningful insights and drive data-driven decision-making.
  • Optimize NLP models for enhanced performance in real-world applications.
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Why This Project is Important

This project is essential for anyone involved in data analysis and customer feedback processing. Understanding sentiment analysis allows businesses to better connect with their audiences by turning feedback into actionable insights. Whether you’re a data scientist looking to apply advanced NLP techniques or a business professional seeking to improve customer satisfaction, this project will help you harness the power of transformers for customer sentiment analysis. With Hugging Face’s models and PyTorch, you’ll streamline the process of turning textual data into valuable business intelligence.

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Who Should Enroll

This project is ideal for:
  • Data scientists and machine learning engineers interested in working with NLP and transformer models.
  • Developers eager to explore the capabilities of Hugging Face and PyTorch for real-world AI applications.
  • Business professionals seeking to improve customer feedback analysis and decision-making processes.
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What You'll Need

To embark on this guided project, you'll need:
  • A foundational understanding of Python.
  • Basic knowledge of machine learning and NLP.
  • Familiarity with the IBM Skills Network Labs environment, which facilitates development with pre-installed tools like Docker.
  • Access to a modern web browser like Chrome, Edge, Firefox, or Safari.

Instructors

Kunal Makwana

Data Scientist

I’m a passionate Data Scientist and AI enthusiast, currently working at IBM on innovative projects in Generative AI and machine learning. My journey began with a deep interest in mathematics and coding, which inspired me to explore how data can solve real-world problems. Over the years, I’ve gained hands-on experience in building scalable AI solutions, fine-tuning models, and leveraging cloud technologies to extract meaningful insights from complex datasets.

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Fateme Akbari

Data Scientist @IBM

I'm a data-driven Ph.D. Candidate at McMaster University and a data scientist at IBM, specializing in machine learning (ML) and natural language processing (NLP). My research focuses on the application of ML in healthcare, and I have a strong record of publications that reflect my commitment to advancing this field. I thrive on tackling complex challenges and developing innovative, ML-based solutions that can make a meaningful impact—not only for humans but for all living beings. Outside of my research, I enjoy exploring nature through trekking and biking, and I love catching ball games.

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Contributors

Hailey Quach

Data Scientist

Hi, I'm Hailey. I enjoy teaching others to build creative and impactful AI projects. By day, I’m a Data Scientist at IBM; by night, an Honors BSc student at Concordia University in Montreal, always exploring new ways to combine learning with innovation.

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