Customer product reviews play a role in improving the quality of products and services for business organizations or their brands. Complaining is an attitude that expresses dissatisfaction with an event or a product not meeting customer expectations. In this paper, we build a Vietnamese Open-domain Complaint Detection dataset (UIT-ViOCD), including 5,485 human-annotated reviews on four categories about product reviews on e-commerce sites. After the data collection phase, we proceed to the annotation task and achieve the inter-annotator agreement (Am) of 87%. Then, we present an extensive methodology for the research purposes and achieve 92.16% by F1-score for identifying complaints. With the results, in future, we aim to build a system for open-domain complaint detection on E-commerce websites.

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This paper proposed a method to forecast thermal comfort conditions and energy efficiently in air-conditioned classrooms. Room comfort parameters such as temperature and wind speed are simulated using the computational fluid dynamics (CFD) tool. To evaluate the results, we used objective measurements, CFD modeling, and subjective assessment. The results from the field measurements compared and contrasted the predicted values by the survey. The predicted results show the reasonable distribution of airflow characteristics, temperature gradients, and these characteristics are consistent with experimental measurements which are within the limits of the thermal comfort standards. The neutral temperature which was found from the questionnaires was 29.2oC with 52.4% of the students feeling comfortable at the neutral level. In addition, recommendations have been made to improve thermal comfort conditions and reduce the accumulation of carbon dioxide concentrations in classrooms.