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Understanding Consumer Sentiments: A TextBlob-Based Sentiment Analysis Study Kurniasari, Dian; Hdiana, Yazid Zinedine; Lumbanraja, Favorisen R.; Warsono, Warsono; Hadi, Normi Abdul
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 3 (2025): November
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252340

Abstract

This study employs advanced sentiment analysis techniques to enhance the understanding of drug reviews, with a specific focus on TextBlob-based sentiment classification. As the accessibility of health products through pharmacies and online platforms continues to increase, individuals with limited health literacy are increasingly relying on user-generated feedback to inform their decision-making. By utilizing the TextBlob labelling method, this research categorizes user sentiments into positive, neutral, or negative, addressing the limitations inherent in traditional sentiment analysis approaches. The analysis is supported by an innovative model known as BERT, which effectively captures the emotional expression within textual data. The results indicate that the proposed approach consistently achieves an accuracy of 98% across training, validation, and testing phases, highlighting its strong performance in sentiment classification. This accomplishment underscores TextBlob’s ability to consistently and reliably assess user sentiment, thereby enriching the understanding of consumer perspectives in the pharmaceutical industry. The findings highlight the importance of effective sentiment analysis methods in healthcare, offering valuable insights for both consumers and stakeholders. Moreover, this study provides a foundation for future investigations focused on improving sentiment analysis methods across varied datasets, which will enhance the precision and applicability of classification results in different scenarios.
Analisis lembar kerja peserta didik tema 1 kelas v ditinjau dari kelayakan isi, kebahasaan, penyajian, dan kegrafikan di sekolah dasar Kurniasari, Dian; Poerwanti, Jenny Indrastoeti Siti; Matsuri, Matsuri
Didaktika Dwija Indria Vol 9, No 2 (2021): Didaktika Dwija Indria
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ddi.v9i2.48755

Abstract

This study was conducted to describe the quality of the contents of the Grade V Student Worksheet Theme 1. The quality is decent from the aspect of eligibility requirements, content eligibility aspect, language aspect, presentation aspect, and graphic aspect. This research used descriptive qualitative research methods. Data analysis was done by counting the percentage of the acceptability score of student worksheet. The result showed that the grade V student worksheet Theme 1 has a high level of eligibility in accordance with the standards set by BSNP. This study found that student worksheet still needs some improvement to improve quality of student worksheet. Such as the need to add enough space for student to write something in the student worksheet. But overal the student worksheet has been appropriate with the sepecified indicators. The result showed that aspect of eligibility got score percentage 92,21%, content eligibility aspect got 96,56%, presentation aspect got 99,21%, language aspect got 91,27%, and graphic aspect got 100%. The results of this study indicate that the Student Worksheet used is very feasible and can support learning activities.