Laboratory, Applied Intelligence and Data Analytics (AIDA)
This research lab brings together interdisciplinary research fields, such as, Data Science & Data Analytics, Data Mining, Text Mining, Opinion Mining, Business Intelligence, ERP Systems, IT Management, Semantic Web, Sentiment Analysis, Image Processing, Ubiquitous Learning, Blended Learning, and Bioinformatics.
Releted Research
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[Journal]
Feature selection and reduction based on SMOTE and information gain for sentiment mining
Wararat Songpan,
The problem of classifying the sentiment analysis was found that there were many features for the sentiments that caused the less accuracy in classifying the sentiment, for example the negative class for those sentiments.
2020-05-15 | [url] -
[Conference Proceeding]
Semag: A Novel semantic-agent learning recommendation mechanism for enhancing learner-system interaction
Ngamnij Arch-int, Somjit Arch-int
In this paper, we present SEMAG - a novel semantic-agent learning recommendation mechanism which utilizes the advantages of instructional Semantic Web rules and multi-agent technology, in order to build a competitive and interactive learning environment. Specifically, the recommendation-making process is contingent upon chapter-quiz results, as usual; but it also checks the students' understanding at topic-levels
2017-06-12 | [url] -
[Conference Proceeding]
The analysis and prediction of customer review rating using opinion mining
Wararat Songpan
The customer review is important to improve service for company, which have both close opinion and open opinion. The open opinion means the comment as text which shows emotion and comment directly from customer.
2017-06-07 | [url]