Final Project

As a significant portion of your grade, the Course Project provide you the chance to flex your newly acquired skills toward an application of your choosing. What is more, people from different background are encouraged to form a team.

This is a group project. All team members will receive the same grade. This project will account for 30% of the overall grade.

You may conduct investigative analysis on any one of the following topics related to text mining:

• Text classification
• Text clustering
• Opining mining and sentiment analysis
• Information Extraction
• Other topics are possible with consent from the instructor.

Note that reports and required files/documents handed in after the due date will be marked down by 10% per day.

IDEAS INSPRIATION

You might look at recent deep learning publications from top-tier machine learning conferences and labs, as well as other resources below.

• NeurIPS: Neural Information Processing Systems
• ICML: International Conference on Machine Learning
• Analyzing CS trends from ICML and NIPS Research Papers
• EMNLP: Empirical Methods in Natural Language Processing
• ACL: Association for Computational Linguistics
• Kaggle challenges: An online machine learning competition website
• NLP+Twitter: Twitter NLP tools
• Chinese NLP tools: NLP for Chinese text
• Analysis on ‘F.R.I.E.N.D.S’

How to get Data?

• Get data from social networks, such as Twitter or other websites
• Kaggle Datasets
• CrowdFlower
• AirBNB Dataset
• AirBNB Platform
• Yelp Dataset
• Datasets on Reddit
• Currated list of “awesome public datasets”
• Use a 3rd-party web scraper to scrape content: Octoparse and other web scrapers