@inproceedings{84ed5ab3a4d84097bc3a03cc3e8f5158,
title = "Evaluation of an educational training platform using text mining",
abstract = "Educational data mining (EDM) is an important research area that implements and develops methods and statistical techniques for discovering new insights in order to improve the performance of the education system. Collecting and analyzing data makes it possible to do new discoveries and test cases about learners and teachers. Analyzing feedback using text mining and sentiment/opinion analysis techniques, the learners and teachers opinions are categorized into positive or negative. Feedback can be collected in a variety of ways. In this paper, a large number of feedback and comments from learners who attended e-learning, life-long courses were collected from questionnaires. We present an opinion mining system, which is used to analyze automatically and classify these free-text user comments according to their polarity.",
keywords = "Educational Data, Machine Learning, Opinion Mining, Sentiment Analysis, Text Mining",
author = "Nikolaos Spatiotis and Iosif Mporas and Isidoros Perikos and Michael Paraskevas",
year = "2018",
month = jul,
day = "9",
doi = "10.1145/3200947.3201049",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "ACM Press",
booktitle = "Proceedings - 10th Hellenic Conference on Artificial Intelligence, SETN 2018",
address = "United States",
note = "10th Hellenic Conference on Artificial Intelligence, SETN 2018 ; Conference date: 09-07-2018 Through 12-07-2018",
}