Text Data Preparation in RapidMiner for Short Free Text Answer in Assisted Assessment

2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)(2018)

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摘要
Data preparation is the most crucial stage before any machine learning algorithm can be applied. Equally important is text data preparation for many areas such as information retrieval, data mining, information extraction and natural language processing. In this paper, how text data preparation for short-text automated assessment grading is implemented in RapidMiner will be discovered. RapidMiner has becoming a very popular tool in field of data exploration, data preparation, modelling, scoring, automation and many other data science related. It is found that RapidMiner graphical visual environment makes it convenient, simple and fast to design a better model for automated grading. With this, an experiment is carried out to explore this option on short-text automated grading. The popularity of studying automated grading in teaching and learning has also becoming a popular area ever since it was introduced. The main challenge in studying this area is to extract important information out of a collection of unstructured text-based data. Thus, this paper will describe in detail how text data can be prepared in RapidMiner tool in order to discover relevant information for machine learning implementation.
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关键词
RapidMiner Text Processing,Short-Text Assisted Assessment,Tokenization,WordNet Synonyms
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