Special Issue "Emerging Application of Sentiment Analysis Technologies"
Deadline for manuscript submissions: 30 September 2021.
Interests: natural language processing (NLP); multilingual and crosslingual NLP with an emphasis on low-resource languages; sentiment analysis and opinion mining on social media; information retrieval techniques applying NLP
Special Issues and Collections in MDPI journals
Interests: natural language processing (NLP); parsing; NLP for low-resource languages; sentiment analysis and opinion mining; question answering
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.
- Multilingual sentiment analysis;
- Sentiment analysis for low-resource languages;
- Multimedia sentiment analysis from video, image and text;
- Sentiment analysis for political, social and economic analysis;
- Sentiment analysis for security monitoring;
- Sentiment analysis for detecting sexism, racism, bullying and harassment;
- Sentiment analysis for health;
- Language resources for emerging applications of SA.
Technical Program Committee Members:
- Prof. Dr. Carlos Gómez-Rodríguez, Universidade da Coruña
- Prof. Dr. Jesús Vilares, Universidade da Coruña
Prof. Dr. Miguel A. Alonso
Prof. David Vilares
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 papers will be 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 1800 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.
- Multilingual sentiment analysis
- Sentiment analysis for low-resource languages
- Multimedia sentiment analysis from video, image and text
- Sentiment analysis for political, social and economic analysis
- Sentiment analysis for security monitoring
- Sentiment analysis for detecting sexism, racism, bullying and harassment
- Sentiment analysis for health
- Language resources for emerging applications of SA