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Analysis of institutional authors

Tenemaza MCorresponding AuthorDe Antonio AAuthorRamírez JAuthor

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July 25, 2020
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Proceedings Paper
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Ekybot: Framework proposal for chatbot in financial enterprises

Publicated to:A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model. 1131 AISC 254-259 - 2020-01-01 1131 AISC(), DOI: 10.1007/978-3-030-39512-4_40

Authors: Tenemaza, Maritzol; Lujan-Mora, Sergio; de Antonio, Angelica; Ramirez, Jaime; Zarabia, Omar

Affiliations

Escuela Politec Nacl, Dept Informat & Ciencias Comp, Quito, Ecuador - Author
Escuela Politécnica Nacional - Author
Escuela Tecnica Superior de Ingenieros Informaticos, Universidad Politecnica de Madrid - Author
Univ Alicante, Dept Lenguaje & Sistemas Informat, Alicante, Spain - Author
Univ Politecn Madrid, Escuela Tecn Super Ingn Informat, Madrid, Spain - Author
Universitat d'Alacant - Author
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Abstract

© Springer Nature Switzerland AG 2020. The high proportion of customers of financial enterprises such as banking or insurance have forced to think in new forms to attend the customers. Chatbots are modern and useful tools with which customers are attended using natural language. In this work, we present a financial chatbot called Ekybot, which uses different channels as Skype and Facebook. Ekybot assist customers and enhanced services of the financial enterprises. The most interesting finding of this work is the framework that was developed on a variety of cognitive services.

Keywords

Artificial intelligenceChatbotConversational agentHuman computer interaction

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model, Q4 Agency Scopus (SJR), its regional focus and specialization in Control and Systems Engineering, give it significant recognition in a specific niche of scientific knowledge at an international level.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.13, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jul 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-07-26, the following number of citations:

  • WoS: 2
  • Scopus: 7

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-26:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 30 (PlumX).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Ecuador.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (TENEMAZA VERA, REGINA MARITZOL) .

the author responsible for correspondence tasks has been TENEMAZA VERA, REGINA MARITZOL.