Special Issue on Emerging Application of Sentiment Analysis Technologies

Electronics. MDPI Open Access Journal
JCR impact factor of 2.412, ranking 125/266 (Q2) in 'Engineering, Electrical & Electronic' according to JCR report 2020

The submission deadline is 30 September 2021.

Special issue information
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Sentiment analysis (SA) is the field of natural language processing that deals with the automatic comprehension of opinions shared by users across different media. The traditional application of SA is to scan the opinions of users written on social networks and websites to find out how people perceive a product or service—which aspects are working and which have to be improved. This has caused a surge of technological solutions for SA, leading to the development of a wide range of systems, from those based on knowledge that makes use of lexical, syntactic and semantic information to those that are based on supervised learning through the creation of large pre-trained models of deep neural networks. These systems allow SA to be applied to areas that go beyond the product perceptions and written text.

Current challenges include analyzing texts in which segments written in one language are mixed with segments written in another language (code switching) or in which some elements are written in a language using morphological and syntactic structures from another language (code mixing); jointly analyzing the information provided by images and video together with the associated text (captions, subtitles, descriptions, etc.), so common in the web nowadays; extending sentiment analysis techniques so that they are not only able to determine people’s emotions but also their behavior, to aid in the prevention of sexism, racism, abuse and harassment on social networks; determining people’s mental health in order to alert serious conditions, such as depression and suicidal tendencies; to give just a few examples. In this Special Issue, we thus focus on approaches defining models and resources to deal with new challenging applications of SA technology in an effective manner.

The topics of interest include but are not limited to:

1) Multilingual sentiment analysis;
2) Sentiment analysis for low-resource languages;
3) Multimedia sentiment analysis from video, image and text;
4) Sentiment analysis for political, social and economic analysis;
5) Sentiment analysis for security monitoring;
6) Sentiment analysis for detecting sexism, racism, bullying and harassment;
7) Sentiment analysis for health;
8) Language resources for emerging applications of SA.

You can find the Call for Papers at:
https://www.mdpi.com/journal/electronics/special_issues/Sentiment_Analysis_Technologies

/Electronics/ is fully open access. Manuscripts are peer-reviewed and a first decision provided to authors approximately 16.4 days after submission. An Article Processing Charge (APC) of 1800 CHF applies to all accepted papers. It has an IF of 2.412, ranking 125/266 (Q2) in 'Engineering, Electrical & Electronic' according to JCR report 2020

We hope that you will be able to submit a paper again to enrich this special issue and introduce your research to the Electronics journal's readers.

Please get in touch if any questions, we look forward to hearing from you.

Kind regards,

Prof. Dr. Miguel A. Alonso
Prof. Dr. David Vilares
Guest Editors