Social Network Integration in Document Summarization

2014 ◽  
pp. 139-162 ◽  
Author(s):  
Atefeh Farzindar
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Semantic Analysis ◽  
Dynamic Network ◽  
Large Data ◽  
Automatic Summarization ◽  
Opinion Summarization ◽  
Event Based ◽  
Media Data

In this chapter, the author presents the new role of summarization in the dynamic network of social media and its importance in semantic analysis of social media and large data. The author introduces how summarization tasks can improve social media retrieval and event detection. The author discusses the challenges in social media data versus traditional documents. The author presents the approaches to social media summarization and methods for update summarization, network activities summarization, event-based summarization, and opinion summarization. The author reviews the existing evaluation metrics for summarization and the efforts on evaluation shared tasks on social data related tracks by ACL, TREC, TAC, and SemEval. In conclusion, the author discusses the importance of this dynamic discipline and great potential of automatic summarization in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

Social Network Integration in Document Summarization

2014 ◽  
pp. 746-769 ◽  
Author(s):  
Atefeh Farzindar
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Semantic Analysis ◽  
Dynamic Network ◽  
Large Data ◽  
Automatic Summarization ◽  
Opinion Summarization ◽  
Event Based ◽  
Media Data

In this chapter, the author presents the new role of summarization in the dynamic network of social media and its importance in semantic analysis of social media and large data. The author introduces how summarization tasks can improve social media retrieval and event detection. The author discusses the challenges in social media data versus traditional documents. The author presents the approaches to social media summarization and methods for update summarization, network activities summarization, event-based summarization, and opinion summarization. The author reviews the existing evaluation metrics for summarization and the efforts on evaluation shared tasks on social data related tracks by ACL, TREC, TAC, and SemEval. In conclusion, the author discusses the importance of this dynamic discipline and great potential of automatic summarization in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

Social Network Integration in Document Summarization

2015 ◽  
pp. 2102-2125
Author(s):  
Atefeh Farzindar
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Semantic Analysis ◽  
Dynamic Network ◽  
Large Data ◽  
Automatic Summarization ◽  
Opinion Summarization ◽  
Event Based ◽  
Media Data

In this chapter, the author presents the new role of summarization in the dynamic network of social media and its importance in semantic analysis of social media and large data. The author introduces how summarization tasks can improve social media retrieval and event detection. The author discusses the challenges in social media data versus traditional documents. The author presents the approaches to social media summarization and methods for update summarization, network activities summarization, event-based summarization, and opinion summarization. The author reviews the existing evaluation metrics for summarization and the efforts on evaluation shared tasks on social data related tracks by ACL, TREC, TAC, and SemEval. In conclusion, the author discusses the importance of this dynamic discipline and great potential of automatic summarization in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

A Sentiment Analysis and Role of Twitter for Health Communications

2022 ◽  
pp. 188-205
Author(s):  
Erkan Çiçek ◽  
Uğur Gündüz
Keyword(s):  
Social Media ◽  
Crisis Management ◽  
Semantic Analysis ◽  
Social Media Data ◽  
Global Pandemic ◽  
The Difference ◽  
Textual Content ◽  
The Impact ◽  
Media Data

Social media has been in our lives so much lately that it is an undeniable fact that global pandemics, which constitute an important part of our lives, are also affected by these networks and that they exist in these networks and share the users. The purpose of making this hashtag analysis is to reveal the difference in discourse and language while analyzing Twitter data and to evaluate the effects of a global pandemic crisis on language, message, and crisis management with social media data. This form of analysis is typically completed through amassing textual content data then investigating the “sentiment” conveyed. Within the scope of the study, 11,300 Twitter messages posted with the #stayhome hashtag between 30 May 2020 and 6 June 2020 were examined. The impact and reliability of social media in disaster management could be questioned by carrying out a content analysis based totally on the semantic analysis of the messages given on the Twitter posts with the phrases and frequencies used.

The role of social networking sites in the revolution of 25 January 2011 Egyptian

2019 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Qassim Alwan Saeed ◽  
Khairallah Sabhan Abdullah Al-Jubouri
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Arab Spring ◽  
The World ◽  
The Revolution

Social media sites have recently gain an essential importance in the contemporary societies، actually، these sites isn't simply a personal or social tool of communication among people، its role had been expanded to become "political"، words such as "Facebook، Twitter and YouTube" are common words in political fields of our modern days since the uprisings of Arab spring، which sometimes called (Facebook revolutions) as a result of the major impact of these sites in broadcasting process of the revolution message over the world by organize and manage the revolution progresses in spite of the governmental ascendance and official prohibition.

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.

Older and Younger Job Seekers' Impression Management on LinkedIn

2021 ◽  
Vol 20 (2) ◽  
pp. 61-74
Author(s):  
Franciska Krings ◽  
Irina Gioaba ◽  
Michèle Kaufmann ◽  
Sabine Sczesny ◽  
Leslie Zebrowitz
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Impression Management ◽  
Social Networking Sites ◽  
The Internet ◽  
Job Seekers ◽  
Self Presentation ◽  
Job Offers ◽  
Research Show

Abstract. The use of social networking sites such as LinkedIn in recruitment is ubiquitous. This practice may hold risks for older job seekers. Not having grown up using the internet and having learned how to use social media only in middle adulthood may render them less versed in online self-presentation than younger job seekers. Results of this research show some differences and many similarities between younger and older job seekers' impression management on their LinkedIn profiles. Nevertheless, independent of their impression management efforts, older job seekers received fewer job offers than younger job seekers. Only using a profile photo with a younger appearance reduced this bias. Implications for the role of job seeker age in online impression management and recruitment are discussed.

Role of Social Media in Tourism

2015 ◽  
pp. 142-162
Author(s):  
Vipin K. Nadda ◽  
Sumesh Singh Dadwal ◽  
Dirisa Mulindwa ◽  
Rubina Vieira
Keyword(s):  
Social Networks ◽  
Information Technology ◽  
Social Media ◽  
Social Network ◽  
Social Networking ◽  
Web Sites ◽  
User Generated Content ◽  
Major Shift ◽  
Tourism And Hospitality

Revolutionary development in field of communication and information technology have globally opened new avenue of marketing tourism and hospitality products. Major shift in web usage happened when Napster in 1999 released peer-to-peer share media and then with pioneer social networking websites named ‘Six Degrees'. This kind of interactive social web was named as ‘Web 2.0'. It would create openness, community and interaction. Web2. is also known as Social media base. Social media is incudes “all the different kinds of content that form social networks: posts on blogs or forums, photos, audio, videos, links, profiles on social networking web sites, status updates and more”. It allows people to create; upload post and share content easily and share globally. Social media allows the creation and exchange of user-generated content and experiences online. Thus, social media is any kind of information we share with our social network, using social networking web sites and services.

Social Media-Based Data Collection and Analysis in Educational Research

2020 ◽  
pp. 54-77
Author(s):  
Liuli Huang
Keyword(s):  
Social Media ◽  
Data Collection ◽  
Educational Research ◽  
Media In Education ◽  
Social Media Data ◽  
Educational Processes ◽  
Data Collection And Analysis ◽  
Media Data ◽  
Social Media In Education

The past decades have brought many changes to education, including the role of social media in education. Social media data offer educational researchers first-hand insights into educational processes. This is different from most traditional and often obtrusive data collection methods (e.g., interviews and surveys). Many researchers have explored the role of social media in education, such as the value of social media in the classroom, the relationship between academic achievement and social media. However, the role of social media in educational research, including data collection and analysis from social media, has been examined to a far lesser degree. This study seeks to discuss the potential of social media for educational research. The purpose of this chapter is to illustrate the process of collecting and analyzing social media data through a pilot study of current math educational conditions.

Online Sisterhood

2016 ◽  
pp. 208-227 ◽  
Author(s):  
Ariane J. Utomo
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Developing Countries ◽  
Middle Class ◽  
Social Networking ◽  
Social Networking Sites ◽  
Personal Income

Across developing countries, the role of social networks and social capital in facilitating women's access to income is well documented. However, less is known about how networks facilitated by social networking sites (SNS) may transform women's economic opportunities in these regions. In this chapter, I draw upon a relatively recent phenomenon of the use of SNS as a medium of trade in urban Indonesia. In 2010, I conducted preliminary interviews to examine the dynamics of Facebook-facilitated trade among urban middle-class married women residing in Jakarta, the capital of Indonesia. The interviews highlighted beneficial links between social media, social capital, and productivity – by means of increased personal income. However, this effective link between SNS and income-generating social capital is likely to be a rather distinctive example, as it depends largely on the class, gender, and cultural specificities that shape the nature of online and offline social interactions among my target group.

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