Sentiment Analysis Of The Educational Mission Of The Mechanical Engineering Programs In Norte De Santander
Abstract
In this research a sentiment analysis is carried out where the proposed goals and projection are perceived, taking as a factor the mission of the academic program of mechanical engineering in three universities in the department of Norte de Santander. Through the mission the student can have a perception of what the program does, the advantages and the differences with other programs taught in other universities. Although each program defines its mission, an analysis of natural language can determine whether the message is positive or negative by analyzing its sentiments. The analysis reflects a positive percentage of 60% for the Universidad Francisco de Paula Santander Ocaña, 70% for the central campus and 66% for the Universidad de Pamplona.
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Aguilar, D., Sidorov, G., & Batyrshin, I. (2018). Caso de estudio de análisis de sentimientos en Twitter: Tratado de libre comercio de América del Norte. Research in Computing Science, 147, 357-365. https://doi.org/10.13053/rcs-147-5-27
Barron Estrada, M., Zatarain Cabada, R., Ávila, S., Oramas, R., & Graff, M. (2018). Uso de analizador de emociones en sistemas educativos inteligentes. Research in Computing Science, 147, 179-188. https://doi.org/10.13053/rcs-147-6-14
Bharadwaj, R. (2019). Sentiment Analysis in Banking—Current Use-Cases. Emerj Artificial Intelligence Research. https://emerj.com/ai-sector-overviews/sentiment-analysis-banking/
Bowman, R. (2019, mayo 13). Sentiment Analysis—What is market sentiment and how does it affect the stock market? LEHNER INVESTMENTS. https://www.lehnerinvestments.com/en/sentiment-analysis-stock-market-sentiment/
Cereneo, S., Centeno, Z. J. R., Ulanday, M. L. P., & Cahapin, E. L. (2022). Sentiment Analysis of Students’ Experiences during Online Learning in a State University in the Philippines. International Journal of Computing Sciences Research, 6. //stepacademic.net/ijcsr/article/view/330
CFI Team. (2022). Market Sentiment. Corporate Finance Institute. https://corporatefinanceinstitute.com/resources/wealth-management/market-sentiment/
Chanchi, G. E. C., Pinedo, M. E. O., & Bolaños, M. Á. G. (2021). Emociones y sentimientos en docentes universitarios durante la pandemia del COVID-19. Revista Venezolana de Gerencia, 26(5), Art. 5. https://doi.org/10.52080/rvgluz.26.e5.9
Chanchí, G. E., Ospina, M. A., & Ospino, M. E. (2020). Análisis de sentimientos de la percepción de los estudiantes de Ingeniería de Sistemas de la Universidad de Cartagena (Colombia) sobre las actividades académicas desarrolladas durante el confinamiento debido al COVID-19. Revista ESPACIOS, 41(42). https://www.revistaespacios.com/a20v41n42/20414221.html
Dake, D. K., & Gyimah, E. (2022). Using sentiment analysis to evaluate qualitative students’ responses. Education and Information Technologies. https://doi.org/10.1007/s10639-022-11349-1
Dalipi, F., Zdravkova, K., & Ahlgren, F. (2021). Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review. Frontiers in Artificial Intelligence, 4, 728708. https://doi.org/10.3389/frai.2021.728708
López, M. B., Montes, A. J. H., Ramírez, R. V., Hernández, G. A., Cabada, R. Z., & Estrada, M. L. B. (2016). EmoRemSys: Sistema de recomendación de recursos educativos basado en detección de emociones. RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, 17, 80-95.
Newberry, C. (2021, febrero 10). Análisis del sentimiento en redes sociales (Herramientas + Plantilla gratis). Social Media Marketing & Management Dashboard. https://blog.hootsuite.com/es/analisis-de-sentimiento-en-redes-sociales/
Piedrahíta-Carvajal, A., Rodríguez-Marín, P. A., Terraza-Arciniegas, D. F., Amaya-Gómez, M., Duque-Muñoz, L., Martínez-Vargas, J. D., Piedrahíta-Carvajal, A., Rodríguez-Marín, P. A., Terraza-Arciniegas, D. F., Amaya-Gómez, M., Duque-Muñoz, L., & Martínez-Vargas, J. D. (2021). Aplicación web para el análisis de emociones y atención de estudiantes. TecnoLógicas, 24(51), 62-76. https://doi.org/10.22430/22565337.1821
Plakhotnik, M. S., Volkova, N. V., Jiang, C., Yahiaoui, D., Pheiffer, G., McKay, K., Newman, S., & Reißig-Thust, S. (2021). The Perceived Impact of COVID-19 on Student Well-Being and the Mediating Role of the University Support: Evidence From France, Germany, Russia, and the UK. Frontiers in Psychology, 12. https://www.frontiersin.org/articles/10.3389/fpsyg.2021.642689
Ravi, K., Vadlamani, R., Vasili, S., & Mohan, L. (2015). Sentiment analysis applied to Educational Sector. IEEE International Conference on Computational Intelligence and Computing Research (ICCIC2015), 117-122.
Saura, J., Reyes-Menendez, A., & Palos-Sanchez, P. (2018). Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday. A Sentiment Analysis in Twitter with machine learning: capturing sentiment from #BlackFriday offers. Espacios, 39, 16.
Son, C., Hegde, S., Smith, A., Wang, X., & Sasangohar, F. (2020). Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study. Journal of Medical Internet Research, 22(9), e21279. https://doi.org/10.2196/21279
Tan, Q. H., & Dewi Varathan, K. (2021). The Effects of Covid-19 on the Sentiments and Relationships of Universities Students. 2021 International Conference on Computer Science and Engineering (IC2SE), 1, 1-10. https://doi.org/10.1109/IC2SE52832.2021.9791919
UFPS. (2022). UFPS - Cúcuta. https://ww2.ufps.edu.co/
UFPSO. (2022). UFPSO - Ofertaufpso. https://ufpso.edu.co/Ofertaufpso
Unipamplona. (2022). Ingenieria Mecanica—Universidad de Pamplona. https://www.unipamplona.edu.co/unipamplona/portalIG/home_135/publicacion/publicado/index.htm
Wolfram. (2022). Wolfram Language & System Documentation Center. https://reference.wolfram.com/language/#KnowledgeRepresentationAndNaturalLanguage
Zhong, N., & Ren, J. (2022). Using sentiment analysis to study the relationship between subjective expression in financial reports and company performance. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.949881
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