UPLB ICS Peak One

Emotion word intensity values were derived from an emotion intensity lexicon and used along with n-grams as baseline features to create a linear support vector machine classifier using the one-vs-rest strategy for multi-labeled emotion data. The model was trained on a dataset of English subtitles and compared to a similarly configured classifier which only included baseline features. The results showed that the classifier with emotion intensity values performed significantly better than the model without these features, achieving a macro f1 score of 0.4359. Furthermore, emotion intensity values for disgust, fear, joy, and sadness showed very high feature importance for their respective emotion labels. The findings suggest that the use of emotion word intensities can help classification models in identifying the emotions expressed within bodies of text.

Post-purchase regret is a real problem experienced by real estate investors. The RealRisk Viewer application aims to help lessen this problem by obtaining important location information and providing it to the user in an efficient and easy- to-understand process. The ArcGIS Online Location plarform was utilized in creating a ReactJS GIS web application to visualize information and risks found in certain areas. Real estate agents and normal consumers became the respondents of a System Usability Scale questionnaiare for the application, which resulted in an average of 71.375 score out of 100, giving the application a grade of ’pass’. The successful integration of the ArcGIS API and ReactJS contributed to the ease of use and consequently, positive feedback from the respondents that tested the application, who also recommended the application to have additional layers and to be available in mobile devices.

ScholarVision is a versatile Content Management System template that schools can dynamically alter for their own scholarship databases. This study presents the development, implementation, and evaluation of ScholarVision as a web appli- cation. The application includes managing scholars, donors, and applicants in the system, with the flexibility to create dynamic fields based on different needs. Developed using the MERN stack (MongoDB, Express, React, and Node), the system received an average SUS score of 86.36 from students and 61.25 from scholarship committee members, resulting in an overall average score of 79.67, indicating a favorable level of usability.

Video games are widely known as a source of entertainment, but with the continuous advances in technology, video games were used for other purposes such as pedagogical in nature. The video game Structle was developed in order to answer the question whether video games are able to be used pedagogically, especially when teaching on the basic concepts of data structures. Structle was specifically developed using the Unity Game Engine as the main development environment, and Visual Studio Code as the main IDE while scripts were made using C# for the game’s backend. The participants results in the pretest and posttest, as well as the subsequent statistical T-Test, obtaining a P value of 4.770184 x 10−12 which is significantly lower than the set significance level of α = 0.05. This supports that Structle has had a significant impact in the understanding of the basic concepts of data structures of the participants. Participants have also positively rated their overall experience with the game, as well as the tutorials containing the information on the basic concepts of data structures, suggesting that the game elements and mechanics of Structle had helped the participants in acquiring new knowledge.

Small and Medium Enterprises (SMEs) would employ the use of Enterprise Resource Planning (ERP) Systems to automate processes in certain facets of a business. For SMEs to slowly integrate their ERP systems without affecting day to day operations, the systems are split into modules that would only implement a portion of the business operation, like sales, collections, and inventory. To expand decision making tools and to facilitate increasing orders, a sales, collections, and finished goods inventory logging system is developed for the single proprietor business Jam’s Bakery. The standalone application is created using JavaFX with MySQL covering the database. The usability of the application is evaluated using the System Usability Scale (SUS). The application performed well in system usability, but there’s a need for improvements in clarity of objectives and simplification of workflow.