scholarly journals Linguistic and multilingual issues in virtual worlds and serious games: a general review

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Samuel Cruz-Lara ◽  
Alexandre Denis ◽  
Nadia Bellalem
Keyword(s):  
Sentiment Analysis ◽  
Virtual Worlds ◽  
Serious Games ◽  
Digital Content ◽  
Emotion Detection ◽  
Research Projects ◽  
Textual Information ◽  
Linguistic Support ◽  
General Review ◽  
Research Activities

Within a globalized world, the need for linguistic support is increasing every day. Linguistic information, and in particular multilingual textual information, plays a significant role for describing digital content: information describing pictures or video sequences, general information presented to the user graphically or via a text-to-speech processor, menus in interactive multimedia or TV, subtitles, dialogue prompts, or implicit data appearing on an image such as captions, or tags. It is obviously crucial to associate digital content to multilingual textual information in a non-intrusive way: the user must decide, whether or not, he wants to display the textual information related to the digital content he is dealing with in any particular language.In this paper we will present a general review on linguistic and multilingual issues related to virtual worlds and serious games. The expression “linguistic and multilingual issues” will consider not only any kind of linguistic support (such as syntactic and semantic analysis) based on textual information, but also any kind of multilingual and monolingual topics (such as localization or automatic translation), and their association to virtual worlds and serious games. We will focus on our ongoing research activities, particularly in the framework of sentiment analysis and emotion detection. Note that we will also dedicate special attention to standardization issues because they grant interoperability, stability, and durability.The review will essentially be based on our own experience but some interesting international research projects and applications will be also mentioned, in particular, research projects and applications related to sentiment analysis and emotion detection.

scholarly journals Associating Automatic Natural Language Processing to Serious Games and Virtual Worlds

2011 ◽  
Vol 4 (3) ◽  
Author(s):  
Treveur Bretaudière ◽  
Samuel Cruz-Lara ◽  
Lina María Rojas Barahona
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Learning ◽  
Language Processing ◽  
Virtual Worlds ◽  
Serious Games ◽  
Emotion Detection ◽  
Language Generation ◽  
Research Activities ◽  
Information Framework

We present our current research activities associating automatic natural language processing to serious games and virtual worlds. Several interesting scenarios have been developed: language learning, natural language generation, multilingual information, emotion detection, real-time translations, and non-intrusive access to linguistic information such as definitions or synonyms. Part of our work has contributed to the specification of the Multi Lingual Information Framework [ISO FDIS 24616], (MLIF,2011). Standardization will grant stability,  interoperability and sustainability of an important part of our research activities, in particular, in the framework of representing and managing multilingual textual information.

Serious Games and Virtual Worlds: The Next I-O Frontier!

2011 ◽  
Author(s):  
Aarti Shyamsunder ◽  
Michael S. Fetzer ◽  
Wendy L. Bedwell ◽  
Ben Hawkes ◽  
Charles A. Handler ◽  
...  
Keyword(s):  
Virtual Worlds ◽  
Serious Games

scholarly journals Strengthening the SSTC NRS Scientific and Technical Potential through Participation in the IAEA Coordinated Research Projects

2021 ◽  
pp. 5-13
Author(s):  
Yu. Balashevska ◽  
D. Gumenyuk ◽  
Iu. Ovdiienko ◽  
O. Pecherytsia ◽  
I. Shevchenko ◽  
...  
Keyword(s):  
Best Practices ◽  
Safety Assessment ◽  
Radiation Safety ◽  
Research Projects ◽  
Spent Fuel ◽  
Research Activities ◽  
Technical Potential ◽  
Technical Issues ◽  
Fuel Characterization ◽  
Definition Of

The State Scientific and Technical Center for Nuclear and Radiation Safety (SSTC NRS), a Ukrainian enterprise with a 29-year experience in the area of scientific and technical support to the national nuclear regulator (SNRIU), has been actively involved in international research activities. Participation in the IAEA coordinated research activities is among the SSTC NRS priorities. In the period of 2018–2020, the IAEA accepted four SSTC NRS proposals for participation in respective Coordinated Research Projects (CRPs). These CRPs address scientific and technical issues in different areas such as: 1) performance of probabilistic safety assessment for multi-unit/multi-reactor sites; 2) use of dose projection tools to ensure preparedness and response to nuclear and radiological emergencies; 3) phenomena related to in-vessel melt retention; 4) spent fuel characterization. This article presents a brief overview of the abovementioned projects with definition of scientific contributions by the SSTC NRS (participation in benchmarks, development of methodological documents on implementing research stages and of IAEA technical documents (TECDOC) for demonstration of best practices and results of research carried out by international teams).

SMERT: Single-stream Multimodal BERT for Sentiment Analysis and Emotion Detection

2021 ◽  
Vol 48 (10) ◽  
pp. 1122-1131
Author(s):  
Kyeonghun Kim ◽  
Jinuk Park ◽  
Jieun Lee ◽  
Sanghyun Park
Keyword(s):  
Sentiment Analysis ◽  
Emotion Detection ◽  
Single Stream

Challenges of Introducting Serious Games and Virtual Worlds in Educational Curriculum

2013 ◽  
pp. 425-450
Author(s):  
C. Ribeiro ◽  
J. Pereira ◽  
C. Calado ◽  
C. Ferreira
Keyword(s):  
Learning Environment ◽  
Virtual Worlds ◽  
Serious Games ◽  
Real Potential ◽  
The Real ◽  
Educational Curriculum ◽  
Lessons Learnt ◽  
Open Questions ◽  
Learning Efficacy ◽  
The Impact

Although the impact that Virtual Worlds and Serious Games can have on learning efficacy and efficiency has been recognized, there is still many open questions related to this issue. Specifically there aren’t guidelines or standards to help practitioners introduce this kind of technologies in a learning environment. In this chapter, the authors describe two experiments involving virtual worlds and serious games in a learning environment. These experiments allowed the authors to understand the real potential of this kind of technology, but also some of the difficulties one can come across. The authors hope that the experiments described in this chapter can serve as a basis for similar experiments done by other practitioners. Finally, some of the pitfalls that should be avoided are described as a set of lessons learnt at the end of the chapter.

scholarly journals Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 181074-181090
Author(s):  
Ali Shariq Imran ◽  
Sher Muhammad Daudpota ◽  
Zenun Kastrati ◽  
Rakhi Batra
Keyword(s):  
Deep Learning ◽  
Sentiment Analysis ◽  
Cross Cultural ◽  
Emotion Detection

Textual analysis for China’s financial markets: a review and discussion

2019 ◽  
Vol 10 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Alan Huang ◽  
Wenfeng Wu ◽  
Tong Yu
Keyword(s):  
Financial Markets ◽  
Sentiment Analysis ◽  
Textual Analysis ◽  
Small Sample ◽  
Textual Information ◽  
Content Type ◽  
Survey Paper ◽  
The Past ◽  
The Us ◽  
Important Field

Purpose This is a literature survey paper. The purpose of this paper is to focus on the latest developments in textual analysis on China’s financial markets, highlighting its differences from existing works in the US markets. Design/methodology/approach The authors review the literature and carry out an experiment of sentiment analysis based on a small sample of Chinese news articles. Findings Based on the experiment of sentiment analysis, there is limited evidence on the association between sentiment and other contemporaneous or future returns. Originality/value The supply of financial textual information has grown exponentially in the past decades. Technological advancements in recent years make the programming-based analysis an effective tool to digest such information. The authors highlight the use of credible textual information and discuss directions of research in this important field.

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