Ep 2 | Next-Level Text Classification: Data Exploration and BERT Tokenization Demystified | PYTHON

Welcome to my YouTube channel! In this video, we dive deep into the fascinating world of text classification. Join me as we explore the process of data exploration and tokenization using BERT, a cutting-edge language model.

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Discover how to unlock the full potential of your text classification projects through effective data exploration. I’ll guide you through the steps of analyzing and understanding your data, uncovering valuable insights that will enhance the accuracy and performance of your classification model.

We’ll then delve into the powerful technique of tokenization using BERT. Learn how to transform raw text into meaningful tokens, leveraging BERT’s contextual understanding to capture the intricate nuances of language.

Whether you’re a data scientist, NLP enthusiast, or simply curious about text classification, this video is for you. I’ll provide clear explanations, practical examples, and expert tips to help you master the art of text classification using data exploration and BERT tokenization.

Subscribe to my channel and hit the notification bell to stay updated on the latest advancements in text classification and natural language processing. Together, we’ll uncover the secrets to achieving exceptional accuracy and unlocking valuable insights through data exploration and BERT tokenization.

Get ready to take your text classification skills to new heights. Join me on this exciting journey, and let’s dive into the world of data exploration and BERT tokenization for unparalleled text classification success.

Don’t forget to like, comment, and share this video with others who are passionate about text classification. Let’s embark on this transformative learning experience together!

Part 1 can be found at:

Chapters:
0:00 Libraries Installation
1:40 Hugging Face Datasets
3:53 Loading EMOTIONS dataset
5:06 Data Exploration of Emotions Dataset
9:43 Converting Hugging Face Dataset to Pandas Dataframe
14:05 More indepth Data Exploration – Visualization
22:57 Resetting Dataset Format back to Hugging Face
23:58 Tokenization
36:13 Conclusion

Text classification is a machine learning technique that assigns a set of predefined categories to open-ended text. Text classifiers can be used to organize, structure, and categorize pretty much any kind of text – from documents, medical studies and files, and all over the web.

Hugging Face, Inc. is an American company that develops tools for building applications using machine learning. It is most notable for its transformers library built for natural language processing applications and its platform that allows users to share machine learning models and datasets
HuggingFace is an AI community that promotes open source contributions. It is a hub of open source models for Natural Language Processing, computer vision, and other fields where AI plays its role. Even the tech giants like Google, Facebook, AWS, Microsoft, and others use the models, datasets, and libraries.

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