Assignment Briefing
This Assignment assesses the following module Learning Outcomes (from Definitive Module Document):
Successful students will typically:
2.be able to appreciate the strengths and limitations of various data mining models;
3.be able to critically evaluate, articulate and utilise a range of techniques for designing data mining systems;
4.be able to critically evaluate different algorithms and models of data mining.
7COM1018 Data Mining Assignment-Hertfordshire University UK

Assignment Brief:
A dataset of text is provided in the assignment area on Canvas. Analyse this data using the WEKA toolkit and tools introduced within this module, comparing two different forms of preprocessing: For example, you may investigate the impact of using stemming, the effect of reducing the number of features, the impact of term frequency over a simple word count, etc.

Complete the following tasks:
1.Describe which question you will be investigating (e.g. “is stemming beneficial to improving performance?”, “is the reduction of features beneficial to improving performance?”, etc.) and why you think your choice is an interesting question to investigate.