Polarity of opinions about a public person in Ecuador
Abstract
The present investigation is the study of opinion miningtechniques, focused on obtaining information from a public figurein Ecuador, determining signs of polarity for your management ina positive, negative or neutral way, a result that will allow saidcharacter public to make decisions about their actions based on animage of service to the community. The extraction of opinions insocial networks and techniques based on Human LanguageTechnologies enabled the interpretation of polarized data byspecifying parameters of relevance to the resulting opinion focusedon decision making, processing that adapts to the newcommunication formats achieving the interpretation andassessment of opinion. Social networks was the platform for thecapture of texts by means of an API, which after the processing ofthe natural language obtained results of indications of thepopularity of the character.
Downloads
References
Borras-Morell,Jose Enrique,“Data Mining for Pulsing the Emotion on the Web” Collection: Methods in Molecular Biology Volume: 1246 pp: 123-130, 2015.
Chen, Xin; Vorvoreanu, Mihaela; Madhavan, Krishna,“Mining Social Media Data for Understanding Students' Learning Experiences” IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES Volume: 7 Number: 3 pp: 246-259, 2014.
Khan, Farhan Hassan; Bashir, Saba; Qamar, Usman,“TOM: Twitter opinion mining framework using hybrid classification scheme” DECISION SUPPORT SYSTEMS Volume: 57 pp: 245-257,2014.
Akaichi, Jalel; Dhouioui, Zeineb; Lopez-Huertas Perez, Maria Jose “TextMining Facebook Status Updates for Sentiment Classification”Conference: 17th International Conference System Theory, Control and Computing (ICSTCC) Ubication: Sinaia, ROMANIA pp: 640-645, 2013.
Colace, F.; De Santo, M.; Greco, L,“SAFE: A Sentiment Analysis Framework for E-Learning”International Journal of Emerging Technologies in Learning Volume: 9 Number: 6 pp: 37-41, 2014.
Colace, Francesco; Casaburi, Luca; De Santo, Massimo,“Sentiment detection in social networks and in collaborative learning environments” COMPUTERS IN HUMAN BEHAVIOR Volume: 51Numberespecial: SI pp: 1061-1067, 2015.
Baldominos Gomez, Alejandro; Luis Mingueza, Nerea; Cristina Garcia del Pozo, Ma,“OpinAIS: An Artificial Immune System-based Framework for Opinion Mining” INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE Volume: 3 Number: 3 pp: 25-34, 2015
Copyright Notice
Authors who publish this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-Non-Commercial-Share-Alike 4.0 International 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Disclaimer
LAJC in no event shall be liable for any direct, indirect, incidental, punitive, or consequential copyright infringement claims related to articles that have been submitted for evaluation, or published in any issue of this journal. Find out more in our Disclaimer Notice.