Minnesota State University, Mankato

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    33414 research outputs found

    Evaluating Aspect-Based Sentiment Analysis in Healthcare Drug Reviews Across Machine Learning, Deep Neural Networks, and Transformer Models

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    Sentiment analysis has become a critical area of research in Natural Language Processing (NLP), enabling insights from unstructured text. Within this field, Aspect-Based Sentiment Analysis (ABSA) plays a practical role in domains such as healthcare, where patients drug reviews often contain diverse opinions across multiple aspects, including overall comments, perceived benefits, and side effects. However, aspect-level classification remains challenging due to class imbalance, subtle sentiment expression, and the limitations of traditional models. This research investigates the performance of three modeling paradigms: traditional machine learning (SVM, SVC, and XGBoost), deep learning (CNN-BiLSTM), and transformer-based approaches (DistilBERT sentence-pair classification). Using the UCI Drug Review dataset, the study implements evaluation through stratified train/test splits, nested cross-validation, and multiple metrics including precision, recall, F1-score, and confusion matrices, to ensure robust comparison. Results demonstrate that traditional models such as SVM and XGBoost offer interpretability and strong precision but struggle with recall on minority classes. The CNN-BiLSTM model improved contextual understanding but displayed weakness in neutral sentiment detection. DistilBERT, achieved the best overall performance, demonstrating higher F1-score and stronger balance across all aspects, effectively handling subtle sentiment distinctions. This research provides a comprehensive multi-model comparison for ABSA in healthcare, highlighting trade-offs between efficiency, interpretability, and accuracy. It underscores the strength of transformer-based models for nuanced sentiment tasks while affirming the continued relevance of traditional approaches in practical applications

    Using Brief Acceptance and Commitment Training to Increase Psychological Flexibility and Reduce Stress in School-Based Professionals

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    The significant behavioral and mental health concerns of students and staff in public schools within the United States has led to an increased risk of stress and burnout in teachers, which may lead to subsequent physical and mental health related concerns for staff and negative educational outcomes for students. Due to these school-based concerns, action should be taken to meet the needs of staff and students. This study aimed to better understand the effect of brief, group-based ACTraining on teachers’ psychological flexibility, general stress, job-related burnout, and social validity by replicating and extending the findings of Gillard et al. (2021) and Paliliunas et al. (2023). This study took a mixed-methodological approach including both quantitative and qualitative data. The ACTraining had a limited positive effect on participants’ psychological flexibility, stress, and burnout. Most participants reported high levels of mental well-being and low levels of stress and burnout prior to the ACTraining, indicating a potential ceiling and floor effect, respectively. Participants identified the importance of time for reflection and connection with others, as well as the helpfulness of learning new ACT-specific skills such as acceptance, defusion, self-as-context, and values. Overall, future research should continue to support teachers in promoting their well-being and reducing their stress and burnout in a way that is feasible and socially valid, while also implementing systemic solutions to fit the increasing needs of students and school professionals

    Roshit Niraula Honors Portfolio

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    Roshit Niraula\u27s Honors Portfolio captured in May 2025

    Oltjona Muca Honors Portfolio

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    Oltjona Muca\u27s honors portfolio captured in May 2025

    Lights, Camera, Government Documents!

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    Photographs, Bibliography, and Collection Description for a display of government documents from Fletcher Library at Arizona State University. Note: This collection was inspired by Hanover College\u27s GPO and the Movies display from 2016.https://cornerstone.lib.mnsu.edu/lib-services-govdoc-display-film/1001/thumbnail.jp

    It\u27s Lonely at the Centre of the Earth [book review]

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    It’s Lonely at the Centre of the Earth focuses on the author/artist’s battle with depression and anxiety—and the overwhelming urge to end her own life. Readers who are dealing with anxiety or depression will recognize themselves over and over again, as they read the graphic novel and identify the myriad of ways they themselves are trying to function and “make it” in a world that doesn’t seem to be built for them—or to understand them

    90S-24-Note

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    https://cornerstone.lib.mnsu.edu/mndot7-1990-90s-24/1118/thumbnail.jp

    Plate 03: Cannon River Sheet 3

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    https://cornerstone.lib.mnsu.edu/maps-mn-river-surveys-volume1/1004/thumbnail.jp

    Plate 07: Cloquet River Sheet 4

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    https://cornerstone.lib.mnsu.edu/maps-mn-river-surveys-volume1/1008/thumbnail.jp

    Plate 13: Crow Wing River Sheet 6

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    https://cornerstone.lib.mnsu.edu/maps-mn-river-surveys-volume1/1014/thumbnail.jp

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