| University | National University of Singapore (NUS) |
| Subject | Fundamentals of AI Assignment |
Questions 4 Topics Classification from the text
Given a dataset named “topics_dataset.tab” which includes sentences and corresponding labels indicating the topic of each sentence, complete the following tasks:
- Format the text dataset into the Bag of Words using Python’s Orange library. Then, use the data to train Logistic Regression classifiers capable of classifying the four topics: 1-World, 2-Sports, 3-Business, and 4-Sci/Tech. The classifiers should have an F1 score of at least 0.8 and an AUC score of at least 0.8 based on the test data.(2 marks)
- Explain the importance of text preprocessing in machine learning. Provide three specific preprocessing techniques commonly used in natural language processing (NLP). (4 marks)
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