scholarly journals Identifying Gender of Internet Users Based on Access History

2021 ◽  
Vol 23 (08) ◽  
pp. 270-281
Author(s):  
Trung- Hieu Le ◽  
◽  
Nguyen Thi Hang ◽  
Dinh Tran Ngoc Huy ◽  
Nguyen Thi Phuong Thanh ◽  
...  
Keyword(s):  
Social Networking Sites ◽  
Internet Access ◽  
Identification Problem ◽  
Gender Identification ◽  
Correct Classification Rate ◽  
Classification Rate ◽  
Breaking News ◽  
Internet Users ◽  
Machine Learning Model ◽  
And Gender

The use of activities and internet access differs between men and women. On average, men spend more time on the Internet a day. Men also have some of the same online activities as women. However, there are specific differences such as men’s tendency to access features such as breaking news, football, or games and men’s products. On the contrary, women are more interested in shopping, e-commerce, chatting and participating in social networking sites and blogs. The study aims to identify and predict gender of internet users based on their access history. With SVM method, the correct classification rate is the highest compared to the other two models Accuracy = 87.67%, in addition, the Precision, Recall, and F-Score parameters also give outstanding rates. This result allows us to believe in the ability of the SVM machine learning model to effectively handle the classification and gender identification problem with large-dimensional data.

Perceptual Evaluation of Speech Naturalness in Speakers of Varying Gender Identities

2020 ◽  
Vol 63 (7) ◽  
pp. 2054-2069
Author(s):  
Brandon Merritt ◽  
Tessa Bent
Keyword(s):  
Spontaneous Speech ◽  
Identification Accuracy ◽  
Rating Task ◽  
Gender Identification ◽  
Identification Task ◽  
Male And Female ◽  
Perceptual Evaluation ◽  
Speech Training ◽  
And Gender ◽  
Speech Naturalness

Purpose The purpose of this study was to investigate how speech naturalness relates to masculinity–femininity and gender identification (accuracy and reaction time) for cisgender male and female speakers as well as transmasculine and transfeminine speakers. Method Stimuli included spontaneous speech samples from 20 speakers who are transgender (10 transmasculine and 10 transfeminine) and 20 speakers who are cisgender (10 male and 10 female). Fifty-two listeners completed three tasks: a two-alternative forced-choice gender identification task, a speech naturalness rating task, and a masculinity/femininity rating task. Results Transfeminine and transmasculine speakers were rated as significantly less natural sounding than cisgender speakers. Speakers rated as less natural took longer to identify and were identified less accurately in the gender identification task; furthermore, they were rated as less prototypically masculine/feminine. Conclusions Perceptual speech naturalness for both transfeminine and transmasculine speakers is strongly associated with gender cues in spontaneous speech. Training to align a speaker's voice with their gender identity may concurrently improve perceptual speech naturalness. Supplemental Material https://doi.org/10.23641/asha.12543158

Internet usage patterns and gender differences: a decision tree approach

2019 ◽  
Author(s):  
Dijana Kovacevic ◽  
Ljiljana Kascelan
Keyword(s):  
Decision Tree ◽  
Internet Usage ◽  
The Internet ◽  
Modified Model ◽  
Explanatory Variables ◽  
Internet Users ◽  
Usage Patterns ◽  
And Gender ◽  
The One ◽  
Web Developers

<p> </p> <p>the present study deals with a more detailed, and updated, modified model that allows for the identification of internet usage patterns by gender. The model was modified due to the development of the internet and new access models, on the one hand, and to the fact that previous studies mainly focuses on various individual (non-interactive) influences of certain factors, on the other.</p> <i></i><u></u><sub></sub><sup></sup> <p>The Decision Tree (DT) method, which is used in our study, does not require a pre-defined underlying relationship. In addition, the method allows a great many explanatory variables to be processed and the most important variables are easy to identify. </p><p>Obtained results can serve as to web developers and designers, since by indicating the differences between male and female internet users in terms of their behaviour on the internet it can help in deciding when, where and how to address and appeal to which section of the user base. It is especially important to know their online preferences in order to enable the adequate and targeted placement of information, actions or products and services for the intended target groups.</p><p> <b></b><i></i><u></u><sub></sub><sup></sup><br></p>

scholarly journals The Use of Artificial Neural Networks and a General Discriminant Analysis for Predicting Culling Reasons in Holstein-Friesian Cows Based on First-Lactation Performance Records

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 721
Author(s):  
Krzysztof Adamczyk ◽  
Wilhelm Grzesiak ◽  
Daniel Zaborski
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Discriminant Analysis ◽  
Multilayer Perceptrons ◽  
Correct Classification ◽  
Correct Classification Rate ◽  
Classification Rate ◽  
Holstein Friesian ◽  
Artificial Neural ◽  
Friesian Cows

The aim of the present study was to verify whether artificial neural networks (ANN) may be an effective tool for predicting the culling reasons in cows based on routinely collected first-lactation records. Data on Holstein-Friesian cows culled in Poland between 2017 and 2018 were used in the present study. A general discriminant analysis (GDA) was applied as a reference method for ANN. Considering all predictive performance measures, ANN were the most effective in predicting the culling of cows due to old age (99.76–99.88% of correctly classified cases). In addition, a very high correct classification rate (99.24–99.98%) was obtained for culling the animals due to reproductive problems. It is significant because infertility is one of the conditions that are the most difficult to eliminate in dairy herds. The correct classification rate for individual culling reasons obtained with GDA (0.00–97.63%) was, in general, lower than that for multilayer perceptrons (MLP). The obtained results indicated that, in order to effectively predict the previously mentioned culling reasons, the following first-lactation parameters should be used: calving age, calving difficulty, and the characteristics of the lactation curve based on Wood’s model parameters.

scholarly journals Fatty Acid Composition of Cosmetic Argan Oil: Provenience and Authenticity Criteria

Molecules ◽  
2020 ◽  
Vol 25 (18) ◽  
pp. 4080
Author(s):  
Milena Bučar Miklavčič ◽  
Fouad Taous ◽  
Vasilij Valenčič ◽  
Tibari Elghali ◽  
Maja Podgornik ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Fatty Acid ◽  
Discriminant Analysis ◽  
Trans Fatty Acids ◽  
Correct Classification ◽  
Fatty Acid Profiles ◽  
Correct Classification Rate ◽  
Classification Rate ◽  
Argan Oil ◽  
Geographical Regions

In this work, fatty-acid profiles, including trans fatty acids, in combination with chemometric tools, were applied as a determinant of purity (i.e., adulteration) and provenance (i.e., geographical origin) of cosmetic grade argan oil collected from different regions of Morocco in 2017. The fatty acid profiles obtained by gas chromatography (GC) showed that oleic acid (C18:1) is the most abundant fatty acid, followed by linoleic acid (C18:2) and palmitic acid (C16:0). The content of trans-oleic and trans-linoleic isomers was between 0.02% and 0.03%, while trans-linolenic isomers were between 0.06% and 0.09%. Discriminant analysis (DA) and orthogonal projection to latent structure—discriminant analysis (OPLS-DA) were performed to discriminate between argan oils from Essaouira, Taroudant, Tiznit, Chtouka-Aït Baha and Sidi Ifni. The correct classification rate was highest for argan oil from the Chtouka-Aït Baha province (90.0%) and the lowest for oils from the Sidi Ifni province (14.3%), with an overall correct classification rate of 51.6%. Pairwise comparison using OPLS-DA could predictably differentiate (≥0.92) between the geographical regions with the levels of stearic (C18:0) and arachidic (C20:0) fatty acids accounting for most of the variance. This study shows the feasibility of implementing authenticity criteria for argan oils by including limit values for trans-fatty acids and the ability to discern provenance using fatty acid profiling.

MARKETING COMMUNICATION STRATEGIES OF THE ENTERPRISE IN THE CONDITIONS OF ECONOMY DIGITALIZATION

2018 ◽  
Author(s):  
Anastasiia Zerkal ◽  
◽  
Viktoriia Holomb ◽  
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Social Networking Sites ◽  
Positive Impact ◽  
Communication Strategies ◽  
Mobile Technologies ◽  
Customer Engagement ◽  
User Engagement ◽  
Marketing Communication ◽  
Internet Users

The article considers the peculiarities of the formation of marketing communication strategies of the enterprise in terms of digitalization of the economy. The main directions of mass media in the twentieth century are determined and the delimitation of modern social media is presented. The conditions of compliance of the website have been determined so that it can be considered as a part of web 2.0: the ability to independently contribute to the content of the site; User control of your own information and website design -interactive and useful. The influence of digital and mobile technologies on the peculiarities of users' communication, as well as their attitude to the interactivity of social networks is proved. The potential of social networks to support their brands, increase the customer base and promote goods and services of enterprises has been identified. It is determined that due to its popularity, social networking sites have had a significant impact on ways of social communication and as a result have changed the sales channels of enterprises. It is estimated that the number of people using social networks is growing very fast, and at the time of writing, more than 2.62 billion people are using social networking sites. The largest social networks were analyzed: Facebook, Pinterest, Twitter, LinkedIn, Instagram. Their features and advantages for both users and professional marketers of enterprises are determined. It is estimated that in 2021, 71% of the total number of Internet users were users of social networks, and this percentage is projected to increase. The most popular activity among Internet users is social networking, and it has a high level of user engagement, which has a positive impact on the sales of businesses that work with digital marketing tools. The ease and low cost of Internet marketing compared to conventional advertising has proven that businesses in all sectors of the economy can more effectively reach their target audience, and social networks help influence other potential customers, and allow businesses to get useful feedback on their product or service. Ultimately, this leads to improved products / services and customer engagement, ie improves the company's marketing communication strategies in today's digital economy.

Alzheimer's Disease Classification Based on Multi-feature Fusion

2019 ◽  
Vol 15 (2) ◽  
pp. 161-169 ◽  
Author(s):  
Nuwan Madusanka ◽  
Heung-Kook Choi ◽  
Jae-Hong So ◽  
Boo-Kyeong Choi
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Feature Fusion ◽  
Biological Data ◽  
Correct Classification ◽  
Mr Images ◽  
Correct Classification Rate ◽  
Classification Rate ◽  
Morphometric Features

Background: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer’s Disease (AD). Methods: In particular, we classified subjects with Alzheimer’s disease, Mild Cognitive Impairment (MCI) and Normal Control (NC) based on texture and morphometric features. Currently, neuropsychiatric categorization provides the ground truth for AD and MCI diagnosis. This can then be supported by biological data such as the results of imaging studies. Cerebral atrophy has been shown to correlate strongly with cognitive symptoms. Hence, Magnetic Resonance (MR) images of the brain are important resources for AD diagnosis. In the proposed method, we used three different types of features identified from structural MR images: Gabor, hippocampus morphometric, and Two Dimensional (2D) and Three Dimensional (3D) Gray Level Co-occurrence Matrix (GLCM). The experimental results, obtained using a 5-fold cross-validated Support Vector Machine (SVM) with 2DGLCM and 3DGLCM multi-feature fusion approaches, indicate that we achieved 81.05% ±1.34, 86.61% ±1.25 correct classification rate with 95% Confidence Interval (CI) falls between (80.75-81.35) and (86.33-86.89) respectively, 83.33%±2.15, 84.21%±1.42 sensitivity and 80.95%±1.52, 85.00%±1.24 specificity in our classification of AD against NC subjects, thus outperforming recent works found in the literature. For the classification of MCI against AD, the SVM achieved a 76.31% ± 2.18, 78.95% ±2.26 correct classification rate, 75.00% ±1.34, 76.19%±1.84 sensitivity and 77.78% ±1.14, 82.35% ±1.34 specificity. Results and Conclusion: The results of the third experiment, with MCI against NC, also showed that the multiclass SVM provided highly accurate classification results. These findings suggest that this approach is efficient and may be a promising strategy for obtaining better AD, MCI and NC classification performance.

scholarly journals ПСИХОЛІНГВІСТИЧНА СТРУКТУРА ВЕРБАЛІЗОВАНОГО КОНЦЕПТУ «ФЛІРТ»

2020 ◽  
Vol 15 ◽  
pp. 49-53
Author(s):  
Iia Gordiienko-Mytrofanova ◽  
Iuliia Kobzieva ◽  
Serhii Sauta
Keyword(s):  
Young People ◽  
Semantic Content ◽  
Sexual Relationship ◽  
Gender Identification ◽  
Main Method ◽  
General Attitude ◽  
Intimate Relation ◽  
Males And Females ◽  
And Gender

The aim of this study was to reveal and to describe the structure of the verbalized concept of «flirting». The main method of the research was a psycholinguistic experiment. The sample comprised 400 young people (aged 18-35), males and females being equally represented. The concept of «flirting» is represented by eleven clusters, four of them are core: «verbal and non-verbal ways of communication», «forms and ways of interaction», «emotions, feelings, states», and «gender». Two psycholinguistic meanings of «flirting» concept were described: «The stage of courtship with no intimate relation», «Sexual relationship». The semantic content of the concept of «flirting» does not depend on gender identification. The general attitude of the respondents to the stimulus «lightness» is quite positive.

scholarly journals Polemik Ahmadiyah Di Media Online: Studi pada Weblog Interaktif Kompasiana

2016 ◽  
Vol 10 (2) ◽  
pp. 173-198
Author(s):  
Gun Gun Heryanto
Keyword(s):  
Human Rights ◽  
Focus Group ◽  
New Media ◽  
Public Sphere ◽  
Social Networking ◽  
Social Networking Sites ◽  
Communication Channel ◽  
Group Discussion ◽  
Internet Users ◽  
New Public

Internet as a new media is a communication channel that can be a new public sphere. Especially after the migration of web 1.0 to web 2.0, internet users are connected to many social networking sites and interactive weblog to share informations, ideas and thought. It also allows the debate surrounding the Ahmadiyya get space between netizens. Polemic about Ahmadiyya no longer solely a matter of aqidah as a matter of prophecy, al Mahdi and al Masih, revelation, caliphate and jihad but also a matter of Human Rights (HAM) and the law. We need to map out the themes of the talk surrounding the Ahmadiyya among internet users as well as the need to know the context and dynamics of the evolving discourse on new media. This study traced 100 posts written by Internet users in Kompasiana during 2008-2012 as well as the data from the focus group discussion (FGD) with Kompasianer.

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