Watch Sentiment Analysis Python | TensorFlow LSTM example Video Tutorial


Tutorial Details & Info

Tutorial Title: Sentiment Analysis Python | TensorFlow LSTM example
Instructor / Channel: Abdul Rehman 2050
Lesson Runtime: 12:07 Minutes
Publish Date: August 08, 2023
Total Students / Views: 1,057 views

Follow step-by-step with Sentiment Analysis Python | TensorFlow LSTM example instructor Abdul Rehman 2050. The total lesson runtime is 12:07 minutes with detailed practical demonstrations. Access this full online lesson today on TutorTube.

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Course Description & Lesson Notes

Official Video Description:

Let's learn python NLP sentiment analysis with TensorFlow Library by creating a LSTM Neural Network. LSTM neural network is one of the most used neural network and one of the basic network in Generative AI. Whoever working on Generative AI must start with the basic RRN or LSTM. LSTM networks can keep memory. Although the sentiment analysis problem in python is very simple problem nowdays yet the sentiment analysis python is one of the most widely used problem and still many problems are to be solved in the industry are simple sentiment analysis problems. Python is one of the most used language for the machine learning now days in past days MATLAB was mostly used. But due to the expensive nature of the MATLAB and the free and open source contribution to the python deep learning libraries like TensorFlow and Keras as well as ONNX and PyTorch, now days most of the deep learning research is implemented in Python. Deep learning is not as scarry as it looks like. In this tutorial we created a very simple sentiment analysis based LSTM network and train it with 100 epoch and validate for 10 input strings the output is sigmoid which is probability if greater then 0.5 the sentiment is positive otherwise negative. So our model is fast to train and test we aslo put Training validation loss curves and accuracy curves as well as roc curves for the result visualization. We show how to check the string sentiment as positive or negative with tensorflow based lstm model.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Sentiment Analysis Python | TensorFlow LSTM example taught by Abdul Rehman 2050. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Sentiment Analysis Python | TensorFlow LSTM example.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by Abdul Rehman 2050 with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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