Sentiment Analysis and eWOM Advancements with Deep Learning and Artificial Intelligence

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 December 2024 | Viewed by 43

Special Issue Editors


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Guest Editor
Department of Marketing, Faculty of Statistics, Complutense University of Madrid, 28040 Madrid, Spain
Interests: multi-criteria decision-making models; sentiment analysis; recommender systems; data science applied to business, machine learning
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Guest Editor
Department of Computer Science, University of Jaén, 23071 Jaén, Spain
Interests: group decision making; consensus reaching processes; smart cities and citizen participation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The purpose of this Special Issue is to delve deeply into sentiment analysis through the use of deep learning and artificial intelligence techniques in the context of consumer interactions on social media.

In the digital age, the exchange of opinions and reviews on online platforms has grown exponentially, leading to the emergence of electronic word of mouth (e-WOM), which significantly impacts users' purchasing decisions and their perceptions of products and services.

This Special Issue aims to explore how sentiment analysis can help companies to better understand consumer needs and preferences, identify areas for improvement in their products or services, and effectively segment their online audience. Artificial intelligence techniques such as deep learning and transformer models, which are essential for analyzing large volumes of data generated by users in natural language, will be explored. In summary, this Special Issue aspires to offer a comprehensive and updated insight into the impact and applications of sentiment analysis in the realm of e-WOM and business decision-making.

Dr. Ramón Carrasco
Dr. Francisco Mata
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sentiment analysis
  • electronic word of mouth
  • artificial intelligence
  • deep learning
  • natural language processing

Published Papers

This special issue is now open for submission.
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