• Codes written for NLP offered at University of Guilan:
  • [NLP981] 1st semester of 2019/1398
• Credits: 3.0
• Instructor: Javad PourMostafa
• TA: Parsa Abbasi
• Note: Drop me a line to get the slides!

• Week 1: Supervised Classification

  Confusion Matrix, Whisker Plot, Using Supervised Models like Logistic Regression, Decision Tree, and so on.

• Week 2: Introduction to Neural Networks

  Feedforward NN, Using MSE as a loss function, Updating weights in backpropagation, Gradient Descent Algorithm.

• Week 3: Vector Semantics and Embeddings

  Bag of Words, Finding Unique Words, Creating Document-Word Matrix, TF-IDF Computation
  Finally, investigate our naive TF-IDF model in comparison with SKlearn TfidfVectorizer

This project is licensed under the MIT License - see the LICENSE.md file for details