![[Solved] CS584-Assignment 1-classify text paragraphs into three categories](https://assignmentchef.com/wp-content/uploads/2022/08/downloadzip.jpg)
- Document Classification (100 points) In this homework, you need to classify text paragraphs into three categories: Fyodor Dostoyevsky, Arthur Conan Doyle, and Jane Austen by building your own classifiers. The data provided is from Project Gutenberg. Please follow a few steps as below:
- (5pts) Preprocess data: remove punctuations, irrelevant symbols, and common words etc.
- (5pts) Construct examples: Divide each document into multiple paragraphs. Each paragraph will be one example.
- (5pts) Data split: Sample these paragraphs into training and testing data.
- (5pts) Feature extraction: Build a vocabulary to represent each paragraph using only training data. Consider TF-IDF features for each input example.
- (60pts) Build two classifiers (described below).
- (5pts) Plot training loss and validation loss at each epoch.
- (5pts) Using cross-validation on the training data, report the classification test/validation error (or accuracy) for each category.
- (10pts) Compare both classifiers and provide an analysis for the results.
- Implement a Logistic Regression model using both gradient descent and stochastic gradient descent.
- Implement a Multilayer Perceptron (MLP) model using backpropagation and mini-batch gradient descent.
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