A comparative analysis of face annotation schemes for web facial images in social networks

The article explores the text data of the Internet-comments published on social networks by fans to celebrate the victory of their favorite sportsmen. The aim of the publication is to analyze verbal, paraverbal and nonverbal forms of emotion expression in two groups of fans: those who are keen on sports profiling typically masculine properties (strength, audacity, endurance), and, on the contrary, those who are passionate about the sport performance featuring feminine characteristics (grace, beauty, flexibility). The conducted comparative analysis gives evidence about the presence of a number of specific features due to the effect of gender factor. However, this factor largely correlates with other variables, such as linguacultural patterns, the nature of the sport itself (team sport vs individual sport).

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Comparative Analysis of the Presence of University Professors from Southern Ecuador in Scientific Social Networks

Advances in Intelligent Systems and Computing - Trends and Applications in Information Systems and Technologies ◽

10.1007/978-3-030-72660-7_2 ◽

2021 ◽

pp. 12-21

Author(s):

Karen Michelle Benítez Arrobo ◽

Mónica Hinojosa Becerra ◽

Mónica Maldonado Espinosa ◽

Isidro Marín Gutiérrez

Keyword(s):

Social Networks ◽

Comparative Analysis ◽

University Professors ◽

Southern Ecuador

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Analysis of the Performance of Eigenfaces Technique in Recognizing Non-Caucasian Faces

International Journal of Computer Vision and Image Processing ◽

10.4018/ijcvip.2012100104 ◽

2012 ◽

Vol 2 (4) ◽

pp. 37-50

Author(s):

Imran Khan ◽

Sud Sudirman

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Computer Systems ◽

System Security ◽

Biometric Authentication ◽

Facial Images ◽

Detection And Recognition

Facial detection and recognition technologies are rapidly becoming an important area in many computer systems ranging from system security and biometric authentication to online social networks. However, despite of many years of research, a perfect solution to facial detection and recognition has yet not been found. As one of the earliest techniques, Eigenfaces had become one of the most popular benchmarks in this field. The technique itself, though far from providing a perfect solution, had been used by researchers to compare their proposed algorithms. The authors’ observation of the literature on and surrounding the area of facial detection and recognition found that there is a severe lack of tests and comparison of these techniques on non-Caucasian facial images. This paper aims to provide some lights into this vacuity and to assess the performance of the benchmark technique using non-Caucasian face databases

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Modeling Rumors in Twitter

International Journal of Rough Sets and Data Analysis ◽

10.4018/ijrsda.2016100104 ◽

2016 ◽

Vol 3 (4) ◽

pp. 46-67 ◽

Cited By ~ 3

Author(s):

Rhythm Walia ◽

M.P.S. Bhatia

Keyword(s):

Social Networks ◽

Social Media ◽

Comparative Analysis ◽

State Of The Art ◽

Viral Marketing ◽

Daily Lives ◽

The Past ◽

Depth Analysis ◽

Analysis Of Results ◽

Effective Channel

With the advent of web 2.0 and anonymous free Internet services available to almost everyone, social media has gained immense popularity in disseminating information. It has become an effective channel for advertising and viral marketing. People rely on social networks for news, communication and it has become an integral part of our daily lives. But due to the limited accountability of users, it is often misused for the spread of rumors. Such rumor diffusion hampers the credibility of social media and may spread social panic. Analyzing rumors in social media has gained immense attention from the researchers in the past decade. In this paper the authors provide a survey of work in rumor analysis, which will serve as a stepping-stone for new researchers. They organized the study of rumors into four categories and discussed state of the art papers in each with an in-depth analysis of results of different models used and a comparative analysis between approaches used by different authors.

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