(a) You are given a set of news documents with class labels as follows in Table Q1-1. Document ID Text Lockdown England Mask helps Lockdown Mask Face Mask England hospital England Mask Table Q1-1: News documents 1 2 3 4 5 6 Class A B A B B ? You are asked to use a naive Bayes classifier to decide whether the test document ID 6 'England Mask' belongs to class A or B. Answer the following questions: (ii) What is the basic assumption of the nave Bayes classifier? Why does this limit the applicability of Nave Bayes classifier to real-world use cases. What other approaches would you use to address this issue? (2 marks) (iii) Describe the architecture of a 1-dimensional Convolutional Neural Network model and discuss how to apply this model to a text classification task. Use the sentence "The man sat in the chair" and its corresponding class label "A" as a training data point. Explain how to evaluate the effectiveness of text classification models? (3 marks)