Text Classification (NLP)

• Concepts used:
  • Word Embedding
  • Tokens
  • Pad Sequence (to ensure all sequences have same length)
  • Visualization using Tensorflow Projector
• Tech Stack:
• Python, TensorFlow and Keras
• GitHub: Project Link

Wrote efficient code to train the model on IMDb dataset in Python using TensorFlow and Keras and our model was able to return convincing results with 82% validation accuracy. Similarly, the results can be downladed and visualize through TensorFlow Projector.