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_resources/it114105/itp4514/Assignment/22-23/README.md.original

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+# ITP4514 Mini Project
+> This repository selected 'Local News Classification for Four Types of News' as topics
+
+Form a group of maximum 3 members. Each group should one og the following topics and implement a Solution with Python code with the relevant dataset(s). your major tasks are listed under Mark Distribution. Your deliverable will consist of the dataset(s), Python code, and a report (700-800 words) which will record the details of the process of your works.
+
+### Prescribed Topics
+1. Local News Classification for Four Types of News
+2. Customer Segmentation of Online Grocery
+3. Chatbot for Online bookstore
+4. Recommender System for Online Games
+5. Image Recognition with CNN for Six Types of Fruit
+6. Sales Prediction with RNN
+7. Optional Path for Taking MTR Trains
+8. Course Timetabling with CSP
+
+### Mark Distribution
+1. Problem Analysis 10%
+2. Data Preparation & Analysis 20%
+3. Solution Design 10%
+4. Solution Implementation 40%
+5. Reflection & Reporting 20%
+
+### Model Design 
+![Image](model.png)
+
+### Data reference
+```
+@article{misra2022news,
+  title={News Category Dataset},
+  author={Misra, Rishabh},
+  journal={arXiv preprint arXiv:2209.11429},
+  year={2022}
+}
+
+@book{misra2021sculpting,
+  author = {Misra, Rishabh and Grover, Jigyasa},
+  year = {2021},
+  month = {01},
+  pages = {},
+  title = {Sculpting Data for ML: The first act of Machine Learning},
+  isbn = {9798585463570}
+}
+```
+./data/News_Dataset.csv is removed 11 categories from origin dataset