scholarly journals EVALUATIVE LANGUAGE IN THE DISCOURSE OF CEBONG VS KAMPRET (‘TADPOLE VS MICROBATS’) ON TWITTER

2020 ◽  
Vol 19 (1) ◽  
pp. 1-8
Author(s):  
Ahmad Fadly
Keyword(s):  
Social Media ◽  
Social Systems ◽  
Research Results ◽  
The Social ◽  
Evaluative Language ◽  
Using Data

As an interactive social media, Twitter gives significat role in creating social systems. Evaluative language was intensively used on the social media. The Cebong vs Kampret issue coloured on Twitter and polarized people. By using data Tweet and Reply from Twitter during 2019 this researcher investigates evaluative language. This research results that Twitter community were very emotionally force and defense on the Cebong vs Kampret issue, depicted from many evaluative languages classified into subsystem attitude. Subsystem graduation was also intensively used in accordance to that issue. It means that Twitter community emphasized on semantic scale in evaluating things and person.

Study and Analysis of Delay Factors of Delhi Metro Using Data Sciences and Social Media

2018 ◽  
pp. 209-223
Author(s):  
Arun Solanki ◽  
Ela Kumar
Keyword(s):  
Social Media ◽  
Monday Morning ◽  
Technical Problems ◽  
The People ◽  
Difficult Time ◽  
Implementation Techniques ◽  
The Social ◽  
Using Data ◽  
Delay Prediction ◽  
Different Sources

Delhi Metro passengers had a difficult time mostly on Monday morning as trains on the busy corridors are delayed due to technical problems or track circuit failure. This study found different factors like power failure, weather, rider load, festive season, etc. which are responsible for the delay of Delhi Metro. Due to these factors, Metro got delayed and run at a reduced speed causing much inconvenience to the people, who are hoping to reach their offices on time. Delhi Metro data are received from different sources which may be structured (timings, speed, traffic), semi-structured (images and video) and unstructured (maintenance records) form. So, there is heterogeneity in data. Except for this data, the feedback or suggestion of a rider is vital to the system. Nowadays riders are using social media like Facebook and Twitter very frequently. Three-tier architecture is proposed for the delay analysis of Delhi Metro. Different implementation techniques are studied and proposed for the social media module and delay prediction modules for the proposed system.

scholarly journals Mining on Social Media Data: To Determine the Personality of Unrevealed Person

2019 ◽  
Vol 8 (4) ◽  
pp. 8574-8577
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Mining ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Network Discovery ◽  
The Social ◽  
Mining Methods ◽  
Using Data ◽  
Media Data

The unavoidable utilization of online networking like Facebook is giving exceptional measures of social information. Information mining methods have been broadly used to separate learning from such information. The character of the person is predicted whether he is good or not by using data mining techniques from user self-made data. Mining methods are being broadly using to separate learning from such information, main examples for them are network discovery and slant investigation. Notwithstanding, there is still a lot of room to investigate as far as the occasion information (i.e., occasions with timestamps, for example, posting an inquiry, altering an article in Wikipedia, and remarking on a tweet. These occasions react users' personal conduct standards and working forms in the social media websites.

scholarly journals The Impact of Social Policies on Self-Reliance Incentives for Roma in Central and Eastern Europe

Ekonomika ◽  
2005 ◽  
Vol 69 ◽  
Author(s):  
Susanne Milcher ◽  
Katarína Zigová
Keyword(s):  
Czech Republic ◽  
Eastern Europe ◽  
Central And Eastern Europe ◽  
Social Systems ◽  
The Czech Republic ◽  
Self Reliance ◽  
The Social ◽  
Social Transfers ◽  
Using Data ◽  
The Impact

In this paper, we review the social systems in five European countries: Bulgaria, the Czech Republic, Hungary, Slovakia and Romania. We focus here on regulations towards households with insufficient income. Based on this, we analyse the impact of social transfers on self-reliance incentives of the Roma minority in particular, using data from the UNDP/ILO survey conducted in 2001 in the five countries.

Revisiting Software Engineering in the Social Era

2016 ◽  
Vol 6 (4) ◽  
pp. 36-46 ◽  
Author(s):  
Vanilson Burégio ◽  
Ejub Kajan ◽  
Mohamed Sellami ◽  
Noura Faci ◽  
Zakaria Maamar ◽  
...  
Keyword(s):  
Social Media ◽  
Software Engineering ◽  
Ad Hoc ◽  
Social Systems ◽  
The Social ◽  
The Web

This paper discusses the possible changes that software engineering will have to go through in response to the challenges and issues associated with social media. Indeed, people have never been so connected like nowadays by forming spontaneous relations with others (even strangers) and engaging in ad-hoc interactions. The Web is the backbone of this new social era – an open, global, ubiquitous, and pervasive platform for today's society and world - suggesting that “everything” can socialize or be socialized. This paper also analyzes the evolution of software engineering as a discipline, points out the characteristics of social systems, and finally presents how these characteristics could affect software engineering's models and practices. It is expected that social systems' characteristics will make software engineering evolve one more time to tackle and address the social era's challenges and issues, respectively.

scholarly journals Global cities, creative industries and their representation on social media: A micro-data analysis of Twitter data on the fashion industry

2020 ◽  
Vol 52 (6) ◽  
pp. 1195-1220 ◽  
Author(s):  
Patrizia Casadei ◽  
Neil Lee
Keyword(s):  
New York ◽  
Social Media ◽  
Urban Areas ◽  
Social Life ◽  
Creative Industries ◽  
Fashion Industry ◽  
Political Issues ◽  
The Social ◽  
Media Platform ◽  
Using Data

The creative and cultural industries form an important part of many urban economies, and the fashion industries are one of the exemplar creative industries. Because fashion is based on intangibles such as branding and reputation, it tends to have a two-way relationship with cities: urban areas market themselves through their fashion industry, while the fashion industry draws heavily on the representation of place. In this paper we investigate this interlinked relationship between the fashion industry and place in four of the major cities of global fashion – London, New York, Milan and Paris – using data from the social media platform Twitter. To do this, we draw upon a variety of computer-aided text analysis techniques – including cluster, correspondence and specificity analyses – to examine almost 100,000 tweets collected during the Spring–Summer fashion weeks of February and March 2018. We find considerable diversity in how these cities are represented. Milan and Paris are seen in terms of national fashion houses, artisanal production and traditional institutions such as galleries and exhibitions. New York is focused on media and entertainment, independent designers and a ‘buzzy’ social life. London is portrayed in the most diverse ways, with events, shopping, education, social movements, political issues and the royal family all prominent. In each case, the historical legacy and built environment form important parts of the city’s image. However, there is considerable diversity in representation. We argue that social media allow a more democratic view of the way cities are represented than other methodologies.

scholarly journals The Skype paradox

Pragmatics ◽  
2017 ◽  
Vol 27 (3) ◽  
pp. 447-474 ◽  
Author(s):  
Richard H. Harper ◽  
Rod Watson ◽  
Jill Palzkill Woelfer
Keyword(s):  
Social Media ◽  
Family Relations ◽  
Digital Technologies ◽  
Communications Technology ◽  
Communications Media ◽  
Face To Face ◽  
The Social ◽  
The Future ◽  
Social Disconnection ◽  
Using Data

Abstract Digital technologies are likely to be appropriated by the homeless just as they are by other segments of society. However, these appropriations will reflect the particularities of their circumstances. What are these appropriations? Are they beneficial or effective? Can Skype, as a case in point, assuage the social disconnection that must be, for many, the experience of being homeless? This paper analyses some evidence about these questions and, in particular, the ways communications media are selected, oriented to and accounted for by the homeless young. Using data from a small corpus of interviews, it examines the specific ways in which choice of communication (face-to-face, social media, or video, etc.), are described by these individuals as elected for tactical and strategic reasons having to do with managing their family relations. These relations are massively important both in terms of how communications media are deployed, and in terms of being one of the sources of the homeless state the young find themselves in. The paper examines some of the methodical ways these issues are articulated and the type of ‘causal facticity’ thereby constituted in interview talk. The paper also remarks on the paradoxical problem that technologies like Skype provide: at once allowing people in the general to communicate but in ways that the homeless young want to resist in the particular. The consequences of this for the shaping of communications technology in the future are remarked upon.

scholarly journals Patterns of linguistics features in private chats of social media account leading someone to be a victim of a cyber crime

LEKSIKA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 29
Author(s):  
Ajar Pradika Ananta Tur
Keyword(s):  
Social Media ◽  
Qualitative Method ◽  
Smart Phones ◽  
Cyber Crime ◽  
Research Results ◽  
The Social ◽  
The Way ◽  
Descriptive Qualitative

Social media have grown up as something hallucinogenic. They offer millions of pleasures by having people’s fingertips to control through smart phones. People may interact to each other for various motivations and purposes without knowing who they are talking to in fact although they know the name of the interlocutor shown in the social media account. This leads to cybercrime because people often miss to validate it. This research would like to investigate why people close their eyes to verify the person they are talking to in the social media and how the interlocutors enable to ensure that they are the same person as in the speakers thought. By having descriptive qualitative method with interview as the major for collecting data, the research results some signposts. Addressing, tone, and spelling and punctuation are linguistics features that the doer of cybercrime must have as a key to crack the security without any violence. The doer copies how the way people having the account of social media to ensure the interlocutor through a private chat.

scholarly journals Dealing with the social media content and its relationship with personality Five-Factors' of Sudanese psychologists: التعامل مع محتوى رسائل وسائط التواصل الاجتماعي وعلاقته بعوامل الشخصية الكبرى لدى الأخصائيين النفسيين السودانيين

2021 ◽  
Vol 5 (8) ◽  
Author(s):  
Mohamed MohamedAlhadi Suliman, Elsir Ahmed Suliman
Keyword(s):  
Social Media ◽  
Significant Relationship ◽  
Openness To Experience ◽  
Media Content ◽  
Research Results ◽  
Five Factors ◽  
The Social ◽  
Males And Females ◽  
The Relationship

The study aims to investigate the relationship between the styles of dealing with social media content and personality Five-Factor the Sudanese psychologist. The researchers used a style of dealing with social media, and the Five-Factor Inventory Costa & McCrae. The researchers applied the tools to a sample of 300 (males and females) Sudanese psychologist. The collected data analyzed statistically by SPSS. The results showed positive styles of Sudanese psychologist dealing with social media content and showed high levels of positive of the Sudanese psychologist, and showed a significant relationship between styles of dealing with social media and (Extraversion, Conscientiousness) of the Sudanese psychologist, and no significant relationship between styles of dealing with social media and (Neuroticism, Extraversion, Openness to Experience, Agreeableness, sex, age, social media). Finally, the researchers gave some recommendations depending on the research results.

scholarly journals Social Media Behavioral Intelligence using Feature Extraction

2021 ◽  
pp. 01-06
Author(s):  
Panchal Mayuriben ◽  
Dr. Priyanka Sharma ◽  
Jatin Patel
Keyword(s):  
Social Media ◽  
Feature Extraction ◽  
Political Parties ◽  
Research Work ◽  
Behavioral Pattern ◽  
The Political ◽  
The Social ◽  
Recent Trends ◽  
Bayes Algorithm ◽  
Using Data

Analysis of the behavioral pattern of a people using data of the social media became a trend in last couple of years. Among this popular network, Twitter, Facebook and the Instagram become more and more popular and that’s why these platforms attract the lots of researchers to predict the sentiment regarding major events like election, product brand, movie, stock market and recent trends are some of them. By identifying the attitude associated with the text in terms of positive, negative or the neutral we are able to analyze the opinion behind the content generated by the user and this opinions about the sentiment are very helpful to for the organization or the political parties or among other entities. The task of sentiment analysis is conducted using identifying the polarity associated with the word or document or we can say sentence. This paper consists research work which is designed to improve the accuracy of the model by improving the Naïve Bayes algorithm and I also worked to improve the 3-gram method during my research

Revisiting Software Engineering in the Social Era

Crowdsourcing ◽  
2019 ◽  
pp. 1014-1025
Author(s):  
Vanilson Burégio ◽  
Ejub Kajan ◽  
Mohamed Sellami ◽  
Noura Faci ◽  
Zakaria Maamar ◽  
...  
Keyword(s):  
Social Media ◽  
Software Engineering ◽  
Ad Hoc ◽  
Social Systems ◽  
The Social ◽  
The Web

This paper discusses the possible changes that software engineering will have to go through in response to the challenges and issues associated with social media. Indeed, people have never been so connected like nowadays by forming spontaneous relations with others (even strangers) and engaging in ad-hoc interactions. The Web is the backbone of this new social era – an open, global, ubiquitous, and pervasive platform for today's society and world - suggesting that “everything” can socialize or be socialized. This paper also analyzes the evolution of software engineering as a discipline, points out the characteristics of social systems, and finally presents how these characteristics could affect software engineering's models and practices. It is expected that social systems' characteristics will make software engineering evolve one more time to tackle and address the social era's challenges and issues, respectively.

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