Special Issue "Sentiment Analysis in Social Media Data"
Deadline for manuscript submissions: 18 December 2023 | Viewed by 3509
The development of the Internet and its rapid popularity have made it one of our main tools for consulting and disseminating information. With the development and exponential growth of social networks, the way in which human beings relate to each other has been affected since interaction through these has become a daily task, to such an extent that we can even maintain interpersonal relationships exclusively online with the use of certain platforms. In addition, the recent COVID-19 pandemic caused an accelerated evolution of this phenomenon because we were forced to interact remotely. The use of social networks has become so popular that, according to the publication "Digital 2021"¹, approximately 57% of the world population actively uses social networks such as Twitter, and on average, we invest around 2h 27m daily into this activity. Online platforms have quickly become involved in public discourse, their algorithms helping citizens join social groups, sort through the noise of public discourse, and even keep abreast of current events.
Posts on social networks can be on any topic, and furthermore, there are few restrictions on the content of the posts (e.g., news, comments, etc.). The content of the comments is usually charged with the emotions of the person who publishes them. This emotional charge is useful for identifying the points of view of the users. Social networks give us the opportunity to understand how readers react to a variety of topics, from politics to entertainment. Some of these topics can be controversial if people debate the topic for a period of time. This Special Issue is devoted to recent research in sentiment analysis in social networks, focusing both on the creation of new resources and their applications, as well as algorithms for finding interesting patterns and social groups within them.
Dr. Hiram Calvo
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. Data is an international peer-reviewed open access monthly 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 1600 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.
- social groups discovery
- sentiment analysis
- emotional reactions to posts
- emotion models applications to social networks
- diachronic sentiment analysis