Sentiment Analysis for Social Media III

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 2233

Special Issue Editor

Special Issue Information

Dear Colleagues,

Sentiment analysis is a research field that analyzes people’s opinions, stances, attitudes, and emotions from written text. The popularity of social media and social networks has fostered the quick development of this field, given its ability to analyze collective sentiments.

This Special Issue, “Sentiment Analysis for Social Media”, aims to present new advances in the area of sentiment analysis that foster its development. Submissions are expected to focus on both the theoretical aspects and applications of sentiment analysis techniques for social media. New ideas proposing disruptive approaches are also welcome.

Topics of interest include but are not limited to the following areas:

  • Sentiment and emotion analysis in social media and social networks;
  • Evaluation of sentiment analysis systems;
  • Sentiment analysis and social science;
  • Visualization of sentiment analysis;
  • Big-data systems for sentiment analysis.
  • Fairness and bias in sentiment analysis;
  • Language resources for sentiment analysis;
  • Semantic models for sentiment analysis;
  • Social network analysis for improving sentiment analysis;
  • Multimodal sentiment analysis;
  • Multilingual aspects of sentiment analysis;
  • Language resources and tools for sentiment analysis;
  • Applications of sentiment analysis;
  • Sentiment analysis in health applications;
  • Sentiment analysis and financial applications.

We hope this Special Issue works as a roadmap for all developers and users of sentiment analysis to gain insights from social media.

Dr. Carlos A. Iglesias
Guest Editor

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. Applied Sciences 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.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

15 pages, 3402 KiB  
Article
Design and Implementation of Impromptu Mobile Social Karaoke for Digital Cultural Spaces in the New Normal Era
by Choonsung Shin and Yangmi Lim
Appl. Sci. 2023, 13(22), 12319; https://doi.org/10.3390/app132212319 - 14 Nov 2023
Viewed by 648
Abstract
Although music singing and sharing is a most common cultural activity, users are not allowed to instantly share their own songs due to fixed streaming and listening services on the music service platforms. In order to deal with instant singing and listening together [...] Read more.
Although music singing and sharing is a most common cultural activity, users are not allowed to instantly share their own songs due to fixed streaming and listening services on the music service platforms. In order to deal with instant singing and listening together with other users, this research was conducted to propose a mobile social karaoke system that supports group creation and music sharing via smartphones. The proposed karaoke system consists of a social music cloud that provides impromptu mobile singing and sharing services on the user’s devices. The social music cloud manages a group of users and supports data streaming and message sharing among the users’ devices. The users’ devices enable users to utilize karaoke services based on touch and voice-based natural interfaces in consideration of mobile specifications. After testing the system’s usability and stability, the results illustrated that the voice-based interface was effective in controlling and using the service according to the devices’ mobility and availability. In addition, when karaoke services are utilized in small groups, music transmission/reception is possible without being affected by the number of users. This study has three implications: first, it presented an important possibility for the creation of more active digital cultural spaces and changing mobile life by providing users with a recreation function; second, it provides convenient touch and voice UI for mobile users; and, third, it improves performance and management through its distributed processing. Full article
(This article belongs to the Special Issue Sentiment Analysis for Social Media III)
Show Figures

Figure 1

Back to TopTop