Fine-Tune BERT for Multi-Class Sentiment Classification with Twitter Data | Python & Streamlit

Hi Everyone, I'm excited to announce my latest *Udemy* course available at ONLY 399INR/$9.99USD: Learn to build advanced production-ready Deep Agentic RAG systems. 🪜*Advanced RAG: Build & Deploy Production GenAI Apps* *Check it out* 👉 https://kgptalkie.com/advanced-rag/ 🤖 *Build and Deploy AI Agents with Gemini and Langchain* *Check it out* 👉 https://kgptalkie.com/ai-agent-projects 🔥 *Agentic AI: Private Agentic RAG with LangGraph v1 & Ollama* *Check it out* 👉 https://kgptalkie.com/agentic-rag ⚙️*Deep Agent: Multi Agent RAG with Gemini and Langchain* *Check it out* 👉 https://kgptalkie.com/deep-agent ------------------------------------ In this video, we’ll walk through fine-tuning BERT for multi-class sentiment classification using Twitter data. The process is broken down step by step to ensure you understand how to handle large-scale sentiment classification efficiently using Hugging Face’s BERT model. Here’s what you’ll learn: - Introduction to BERT for Classification: We’ll recap the basics of transformers and learn how to add a classification head to BERT. - Twitter Data Analysis: We’ll load and analyze a Twitter dataset to set the groundwork for model building. - Data Preparation: Learn how to prepare your dataset in a format that Hugging Face models can use. - Tokenization & Model Configurations: We’ll go deep into tokenization and set up model configurations for training. - Model Training & Fine-Tuning: Set up training arguments, compute metrics, and fine-tune the BERT model for optimal results. - Prediction with Fine-Tuned Model: Once fine-tuning is complete, we’ll show how to use the model for prediction tasks. - Streamlit App for Predictions: Finally, we’ll build a Streamlit application to deploy your fine-tuned model and make real-time predictions. This video is packed with useful information to help you get started with fine-tuning BERT for sentiment analysis and deploying it using a Streamlit app! #MachineLearning #BERT #SentimentAnalysis #Streamlit #NLP #TwitterData #FineTuningBERT 🔊 Watch till last for a detailed description 💯 Read Full Blog with Code https://kgptalkie.com 💬 Leave your comments and doubts in the comment section 📌 Save this channel and video for watch later 👍 Like this video to show your support and love ❤️ ~~~~~~~~ 🆓 Watch My Top Free Data Science Videos 👉🏻 Python for Data Scientist https://bit.ly/3dETtFb 👉🏻 Machine Learning for Beginners https://bit.ly/2WOVh7N 👉🏻 Feature Selection in Machine Learning https://bit.ly/2YW6ZQH 👉🏻 Text Preprocessing and Mining for NLP https://bit.ly/31sYMUN 👉🏻 Natural Language Processing (NLP) Tutorials https://bit.ly/3dF1cTL 👉🏻 Deep Learning with TensorFlow 2.0 and Keras https://bit.ly/3dFl09G 👉🏻 COVID 19 Data Analysis and Visualization Masterclass https://bit.ly/31vNC1U 👉🏻 Machine Learning Model Deployment Using Flask at AWS https://bit.ly/3b1svaD 👉🏻 Make Your Own Automated Email Marketing Software in Python https://bit.ly/2QqLaDy *********** 🤝 BE MY FRIEND 🌍 Check Out ML Blogs: https://kgptalkie.com 🐦Add me on Twitter: https://twitter.com/laxmimerit 📄 Follow me on GitHub: https://github.com/laxmimerit 📕 Add me on Facebook: https://facebook.com/kgptalkie 💼 Add me on LinkedIn: https://linkedin.com/in/laxmimerit 👉🏻 Complete Udemy Courses: https://bit.ly/32taBK2 ⚡ Check out my Recent Videos: https://bit.ly/3ldnbWm 🔔 Subscribe me for Free Videos: https://bit.ly/34wN6T6 🤑 Get in touch for Promotion: [email protected] ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ ENROLL in My Highest Rated Udemy Courses to 🔑 Crack Data Science Interviews and Jobs 🏅🎁 Python for Machine Learning: A Step-by-Step Guide | Udemy Course Link: https://bit.ly/ml-ds-project 🎁🎊 Deep Learning for Beginners with Python Course Link: https://bit.ly/dl-with-python 📚 📗 Natural Language Processing ML Model Deployment at AWS Course Link: https://bit.ly/bert_nlp 📊 📈 Data Visualization in Python Masterclass: Beginners to Pro Course Link: https://bit.ly/udemy95off_kgptalkie 📘 📙 Natural Language Processing (NLP) in Python for Beginners Course Link: https://bit.ly/intro_nlp 🎉✌️ Advanced Natural Language and Image Processing Projects | Udemy Course Link: https://bit.ly/kgptalkie_ml_projects 📈 📘 Python for Linear Regression in Machine Learning Course Link: https://bit.ly/regression-python 📙📊 R 4.0 Programming for Data Science || Beginners to Pro Course Link: http://bit.ly/r4-ml ✍️🏆 Introduction to Spacy 3 for Natural Language Processing Course Link: https://bit.ly/spacy-intro