Abstract
The Web is the largest source of information today, a group of these data is the news that is disseminated using Social Networks which are information that needs to be processed in order to know what is its main use in a way that contributes to understanding the impact of these media in the dissemination of news. To solve this problem, we propose the use of data mining techniques such as the Sentiment Analysis to validate the information that comes from social media. The objective of this research is to make a proposal of a method of Systematic Mapping that allows determining the state of the art related to the investigations of the diffusion of news applying Sentiment Analysis and impact on human behavior through Social Media. This initial research presented as a case study a time range until 2017 in research related to the news that uses Data mining techniques like to sentiment analysis for social media in major search engines.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Gandomi, A., Murtaza, H.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manage. 35(2), 137–144 (2015)
Warren-Payne, A.: 13 epic stats and facts from The State of Social webinar. https://www.clickz.com/13-epic-stats-and-facts-from-the-state-of-social-webinar/110510/
Kaplan, A.M., Haenlein, M.: Users of the world, unite! The challenges and opportunities of social media. Bus. Horiz. 53(1), 59–68 (2010)
Cavazza, F.: Social media landscape 2017. https://fredcavazza.net/
Vinodhini, G., Chandrasekaran, R.-M.: Sentiment analysis and opinion mining: a survey. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(6), 282–292 (2012)
Peñafiel, M., Vásquez, S., Vásquez, D., Zaldumbide, J., Luján-Mora, S.: Data mining and opinion mining: a tool in educational context. In: Proceedings of the International Conference on Mathematics and Statistics (ICoMS2018), pp. 74–78. ACM (2018)
Liu, B.: Sentiment analysis and opinion mining. Synth. Lect. Hum. Lang. Technol. 5(1), 1–167 (2012)
Del-Vicario, M., Zolloa, F., Caldarellia, G., Scalab, A., Quattrociocchia, W.: Mapping social dynamics on Facebook: The Brexit debate. Soc. Netw. 50, 6–16 (2017)
Kitchenham, B.: Procedures for performing systematic reviews. Keele, UK, Keele Univ. 33, 1–26 (2004)
Araujo-Alonso, M.: Las revisiones sistemáticas. Medwave. http://www.medwave.cl/link.cgi/Medwave/Series/mbe01/5220
Petersen, K., Vakkalanka, S., Kuzniarz, L.: Guidelines for conducting systematic mapping studies in software engineering: an update. Inf. Softw. Technol. 64, 1–18 (2015)
Kitchenham, B., Budgen, D., Brereton, O.: Using mapping studies as the basis for further research–a participant-observer case study. Inf. Soft. Technol. 53(6), 63–651 (2010)
Smeeton, N.-C.: Early history of the kappa statistic. Biometrics 41, 795 (1985)
Marshall, C., Brereton, P., Kitchenham, B.: Tools to support systematic reviews in software engineering: a feature analysis. In: Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, pp. 1–13. ACM (2014)
Souza, E., Vitório, D., Castro, D., Oliveira, A., Gusmão, C.: Characterizing opinion mining: a systematic mapping study of the Portuguese language. In: International Conference on Computational Processing of the Portuguese Language, pp. 122–127 (2016)
Adedoyin-Olowe, M., Medhat-Gaber, M., Frederic S.: A survey of data mining techniques for social media analysis. arXiv preprint arXiv: 1312.4617 (2013)
Ravi, K., Ravi, V.: A survey on opinion mining and sentiment analysis: tasks, approaches and applications. Knowl. Based Syst. 89, 1–46 (2015)
Martín-Valdivia, M.-T., Martínez-Cámara, E., Perea-Ortega, J.-M., Ureña-López, L.-A.: Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches. Expert Syst. Appl. 40(10), 3934–3942 (2013)
Peñafiel, M., Navarrete, R., Lujan-Mora, S., Zaldumbide, J.: Bridging the gaps between technology and engineering education. Int. J. Eng. Educ. 34(5), 1479–1494 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Peñafiel, M., Navarrete, R., Tenemaza, M., Vásquez, M., Vásquez, D., Luján-Mora, S. (2020). The Diffusion of News Applying Sentiment Analysis and Impact on Human Behavior Through Social Media. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-20454-9_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-20454-9_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20453-2
Online ISBN: 978-3-030-20454-9
eBook Packages: EngineeringEngineering (R0)