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Build Movie Review Classification with BERT and Tensorflow

Evergreen Technologies

Learn to build Moview Review Classifier engine with BERT and TensorFlow 2.4

Build a strong foundation in Deep learning text classifiers with this tutorial for beginners.

Read more

Learn to build Moview Review Classifier engine with BERT and TensorFlow 2.4

Build a strong foundation in Deep learning text classifiers with this tutorial for beginners.

  • Understanding of movie review classification

  • Learn word embeddings from scratch

  • Learn BERT and its advantages over other technologies

  • Leverage pre-trained model and fine-tune it for the questions classification task

  • Learn how to evaluate the model

  • User Jupyter Notebook for programming

  • Test model on real-world data

  • A Powerful Skill at Your Fingertips  Learning the fundamentals of text classification h puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation. Text classification is a fundamental task in the natural language processing (NLP) world.

No prior knowledge of word embedding or BERT is assumed. I'll be covering topics like Word Embeddings, BERT, and Glove from scratch.

Jobs in the NLP area are plentiful, and being able to learn text classification with BERT will give you a strong edge. BERT is state of art language model and surpasses all prior techniques in natural language processing.

Google uses BERT for text classification systems. Text classifications are vital in social media.  Learning text classification with BERT and Tensorflow 2.4 will help you become a natural language processing (NLP) developer which is in high demand.

Content and Overview  

This course teaches you how to build a movie review classification engine using open-source Python, Tensorflow 2.4, and Jupyter framework.  You will work along with me step by step to build a movie review classification engine

  • Word Embeddings

    • Word2Vec

    • One hot encoding

    • Glove

    • BERT

  • Build Application

    • Download dataset

    • Download pre-trained model

    • Fine Tune Model on IMDB movie review dataset

    • Model Evaluation

    • Testing Model on real-world data

What am I going to get from this course?

  • Learn movie review classification with BERT  and Tensorflow 2.4 from a professional trainer from your own desk.

  • Over 10 lectures teaching you how to build a movie review classification  engine

  • Suitable for beginner programmers and ideal for users who learn faster when shown.

  • Visual training method, offering users increased retention and accelerated learning.

  • Breaks even the most complex applications down into simplistic steps.

  • Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.

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What's inside

Learning objective

At the end of my course students will be able to build movie review classification engine

Syllabus

Introduction
About Author
Amazing world of word embeddings
What are word embeddings?
Read more
Word2vec
One hot encodings
Glove
BERT embeddings
Metrics
Feature Engineering
Source Code
Setting up Pre-requisites
Download Data
Create Train, Test and Validation Data
Download Pretrained Model
Create Features with BERT Processor
Model Training
Create Model
Train Model
Model Evaluation
Test model with real world data
Next Steps

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation in Deep learning text classifiers with this tutorial for beginners
Explored from scratch: Word embeddings, BERT, and Glove
Use Jupyter Notebook for hands-on programming experience
Covers a fundamental task in NLP
This course is not suitable for individuals with no programming background

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build Movie Review Classification with BERT and Tensorflow with these activities:
Refresh Python Fundamentals
Revise basic Python concepts to strengthen foundational understanding for this course.
Browse courses on Python Syntax
Show steps
  • Review Python syntax and data structures
  • Practice writing simple Python programs
Natural Language Processing with TensorFlow Tutorial
Enhance understanding of NLP techniques by following a guided tutorial on TensorFlow.
Browse courses on Natural Language Processing
Show steps
  • Work through the tutorial on natural language processing with TensorFlow
  • Complete the exercises and examples provided in the tutorial
BERT Embeddings and Glove Training
Strengthens understanding of the fundamental concepts behind BERT embeddings and Glove, essential for building the movie review classification engine in the course.
Show steps
  • Complete hands-on exercises on creating and using BERT embeddings
  • Train a Glove model on a movie review dataset
  • Compare the performance of BERT embeddings and Glove embeddings for movie review classification
Six other activities
Expand to see all activities and additional details
Show all nine activities
Word Embedding Exercises
Reinforce understanding of word embedding concepts through practice drills.
Browse courses on Word Embeddings
Show steps
  • Solve exercises on Word2Vec and GloVe
  • Implement word embedding techniques in Python
BERT Fine-Tuning for Movie Review Classification Task
Helps reinforce understanding of fine-tuning BERT for movie review classification tasks, a core concept in building the movie review classification engine discussed in this course.
Browse courses on BERT
Show steps
  • Follow video or written tutorials on BERT fine-tuning for movie review classification
  • Experiment with different hyperparameters and see how they affect the performance of the model
  • Troubleshoot any issues that arise during the fine-tuning process
Movie Review Classification Discussion Group
Engage with peers to discuss and share insights on movie review classification techniques.
Show steps
  • Join an online or in-person discussion group
  • Participate in discussions on movie review classification
Natural Language Processing Workshop
Attend a workshop to gain practical experience and insights in natural language processing.
Browse courses on Natural Language Processing
Show steps
  • Identify and register for a relevant workshop
  • Attend all workshop sessions and actively participate
BERT Text Classification Blog Post
Deepen understanding of BERT by writing a blog post explaining its concepts and applications.
Browse courses on BERT
Show steps
  • Research BERT and its applications in text classification
  • Write a comprehensive blog post on your findings
  • Share your blog post on relevant online platforms
Kaggle Movie Review Classification Competition
Challenge yourself and test your skills in a real-world movie review classification competition.
Show steps
  • Register for the Kaggle competition
  • Develop and submit your best movie review classification model
  • Analyze your results and learn from other participants

Career center

Learners who complete Build Movie Review Classification with BERT and Tensorflow will develop knowledge and skills that may be useful to these careers:

Reading list

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Effort
2.5 total hours
Via
Udemy
Instructor
Evergreen Technologies
Language
English
Good to know
Builds a strong foundation in Deep learning text classifiers with this tutorial for beginners
Explored from scratch: Word embeddings, BERT, and Glove
Use Jupyter Notebook for hands-on programming experience
Covers a fundamental task in NLP
This course is not suitable for individuals with no programming background
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