What Changes the Social Perception of Policy Target Population?: A Sentiment Analysis of Newspaper Articles on the Defense Area

2021 ◽  
Vol 31 (2) ◽  
pp. 177-198
Author(s):  
Himchan Hong ◽  
Lah T. J.
Keyword(s):  
Sentiment Analysis ◽  
Social Perception ◽  
Target Population ◽  
The Social ◽  
Policy Target ◽  
Newspaper Articles

scholarly journals Using Social Media in Tourist Sentiment Analysis: A Case Study of Andalusia during the Covid-19 Pandemic

2021 ◽  
Vol 13 (7) ◽  
pp. 3836
Author(s):  
David Flores-Ruiz ◽  
Adolfo Elizondo-Salto ◽  
María de la O. Barroso-González
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Cost Savings ◽  
Mass Scale ◽  
Tourism Sector ◽  
The Social ◽  
Analytical Tools ◽  
Media Data

This paper explores the role of social media in tourist sentiment analysis. To do this, it describes previous studies that have carried out tourist sentiment analysis using social media data, before analyzing changes in tourists’ sentiments and behaviors during the COVID-19 pandemic. In the case study, which focuses on Andalusia, the changes experienced by the tourism sector in the southern Spanish region as a result of the COVID-19 pandemic are assessed using the Andalusian Tourism Situation Survey (ECTA). This information is then compared with data obtained from a sentiment analysis based on the social network Twitter. On the basis of this comparative analysis, the paper concludes that it is possible to identify and classify tourists’ perceptions using sentiment analysis on a mass scale with the help of statistical software (RStudio and Knime). The sentiment analysis using Twitter data correlates with and is supplemented by information from the ECTA survey, with both analyses showing that tourists placed greater value on safety and preferred to travel individually to nearby, less crowded destinations since the pandemic began. Of the two analytical tools, sentiment analysis can be carried out on social media on a continuous basis and offers cost savings.

Polarity Classification of Arabic Sentiments

2016 ◽  
Vol 11 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Mohammed N. Al-Kabi ◽  
Heider A. Wahsheh ◽  
Izzat M. Alsmadi
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Operating Characteristic ◽  
Opinion Mining ◽  
Online Social Network ◽  
The Social ◽  
Polarity Classification ◽  
Arabic Sentiment Analysis ◽  
Modern Standard

Sentiment Analysis/Opinion Mining is associated with social media and usually aims to automatically identify the polarities of different points of views of the users of the social media about different aspects of life. The polarity of a sentiment reflects the point view of its author about a certain issue. This study aims to present a new method to identify the polarity of Arabic reviews and comments whether they are written in Modern Standard Arabic (MSA), or one of the Arabic Dialects, and/or include Emoticons. The proposed method is called Detection of Arabic Sentiment Analysis Polarity (DASAP). A modest dataset of Arabic comments, posts, and reviews is collected from Online social network websites (i.e. Facebook, Blogs, YouTube, and Twitter). This dataset is used to evaluate the effectiveness of the proposed method (DASAP). Receiver Operating Characteristic (ROC) prediction quality measurements are used to evaluate the effectiveness of DASAP based on the collected dataset.

INTERNET NEWS MEMES WITH POLITICAL OVERTONES IN THE PERCEPTION OF YOUNG PEOPLE

2021 ◽  
Vol 5 (1) ◽  
pp. 100-107
Author(s):  
D. S. Gorbatov ◽  
◽  
P. Yu. Gurushkin ◽  
Keyword(s):  
Young People ◽  
Focus Group ◽  
Empirical Research ◽  
Undergraduate Students ◽  
Social Perception ◽  
Research Method ◽  
Focus Group Interview ◽  
Educational Institutions ◽  
Internet News ◽  
The Social

The purpose of the empirical research described in the article was to study the range of judgments that characterize the social perception of the student youth of Internet news memes with political overtones. The research method was a focus group interview using the Microsoft Teams platform. The four groups included 28 undergraduate students of higher educational institutions of St. Petersburg. The results of the study characterize the attitude of students to attempts to impose political overtones on Internet news memes, reflect their opinions about the mistakes made by the authors, contain arguments about the reasons for the anonymity of the authors of memes, describe the range of views on the problem of the responsibility of the authors of memes for violations of laws. In addition, students ' perceptions about changes in Internet memes, in particular, news memes, in the future were revealed.

The Effects of Different Kernels in SVM Sentiment Analysis on Mass Social Distancing

2020 ◽  
Vol 9 (2) ◽  
pp. 161
Author(s):  
Komang Dhiyo Yonatha Wijaya ◽  
Anak Agung Istri Ngurah Eka Karyawati
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Kernel Method ◽  
Idle Time ◽  
Linear Kernel ◽  
Social Distancing ◽  
The Social ◽  
Negative Sentiment ◽  
F Measure ◽  
Kernel Yield

During this pandemic, social media has become a major need as a means of communication. One of the social medias used is Twitter by using messages referred to as tweets. Indonesia currently undergoing mass social distancing. During this time most people use social media in order to spend their idle time However, sometimes, this result in negative sentiment that used to insult and aimed at an individual or group. To filter that kind of tweets, a sentiment analysis was performed with SVM and 3 different kernel method. Tweets are labelled into 3 classes of positive, neutral, and negative. The experiments are conducted to determine which kernel is better. From the sentiment analysis that has been performed, SVM linear kernel yield the best score Some experiments show that the precision of linear kernel is 57%, recall is 50%, and f-measure is 44%

The Power of Projection for Powerless and Powerful People

2017 ◽  
Vol 8 (8) ◽  
pp. 888-896 ◽  
Author(s):  
Claudia Toma ◽  
Vincent Yzerbyt ◽  
Olivier Corneille ◽  
Stéphanie Demoulin
Keyword(s):  
Low Power ◽  
Social Perception ◽  
High Power ◽  
Meta Analysis ◽  
Target Person ◽  
Social Projection ◽  
The Social ◽  
Manipulation Task ◽  
Target Characteristics

Past social projection research has mainly focused on target characteristics as a moderator of projective effects. The current research considers the power of the perceiver and how it affects projection of competence and warmth. In three studies, participants first rated themselves on a list of traits/preferences, then performed a power manipulation task, and, finally, rated a target person on the same list. Studies 1 and 2 reveal that the effect of power on social projection is moderated by dimension of judgment: high-power/low-power participants project more on competence/warmth than low-power/high-power participants. A meta-analysis conducted on Studies 1, 2, 3, and two additional studies confirmed those results. Study 3 additionally shows that high power increases the salience of competence, whereas low power increases the salience of warmth. Implications for both the power and the social perception literatures are discussed.

scholarly journals Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yanni Liu ◽  
Dongsheng Liu ◽  
Yuwei Chen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Sentiment Analysis ◽  
Smart City ◽  
Topic Model ◽  
Rapid Development ◽  
Mobile Internet ◽  
Time Curve ◽  
Public Opinions ◽  
The Social

With the rapid development of mobile Internet, the social network has become an important platform for users to receive, release, and disseminate information. In order to get more valuable information and implement effective supervision on public opinions, it is necessary to study the public opinions, sentiment tendency, and the evolution of the hot events in social networks of a smart city. In view of social networks’ characteristics such as short text, rich topics, diverse sentiments, and timeliness, this paper conducts text modeling with words co-occurrence based on the topic model. Besides, the sentiment computing and the time factor are incorporated to construct the dynamic topic-sentiment mixture model (TSTS). Then, four hot events were randomly selected from the microblog as datasets to evaluate the TSTS model in terms of topic feature extraction, sentiment analysis, and time change. The results show that the TSTS model is better than the traditional models in topic extraction and sentiment analysis. Meanwhile, by fitting the time curve of hot events, the change rules of comments in the social network is obtained.

scholarly journals SOCIAL AND FAMILIAL MALADJUSTMENT: SOCIAL REPRESENTATIONS IN CLOSED EDUCATIONAL CENTER FOR TEENAGERS AND YOUTH

2020 ◽  
Vol 7 (11) ◽  
pp. 187-194
Author(s):  
Anagonou L ◽  
Saria B ◽  
Klikpo E ◽  
Salifou S ◽  
Houinou Ebo B ◽  
...  
Keyword(s):  
Young People ◽  
Mixed Method ◽  
Social Representations ◽  
Target Population ◽  
Child Psychiatrist ◽  
Educational Attitudes ◽  
Educational Failure ◽  
The Social

Social and familial maladjustment is the inability to conform to a group's habits and norms and to participate in its activities and productions. The purpose of this study is to study the social representations of the social and familial maladjustment of adolescents and young people. This is a case study, using a mixed method essentially qualitative, set in a closed educational center in the Department of Littoral in Benin. The study concerned adolescents and young people admitted to the center and their referents. The respondents in the target population were all male and aged 10 to 23 with an average age of 18 years. The social representations of maladjustment, according to young people and their referents are similar. They concern social disqualification, inadequate educational attitudes, the absence of familial model, educational failure linked to adolescents or young people and mystical-religious representations. Adolescents and young people define themselves as deviants while their referents define them as delinquents. This create an insecurity feeling and a need to protect society. Adults have to integrate themselves earlier in the prevention of this phenomenon with the help and /or child psychiatrist lead.

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