TrendMiner: Large-scale analysis of political attitudes in public facebook messages

Miháltz, Márton; Váradi, Tamás

doi:10.1109/coginfocom.2015.7390601

Cited by 4 publications

(4 citation statements)

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“…As a result, social activity shifts from real things to virtual machines [15]. Behavioral conclusions of social media users can be obtained by gathering information from different sources and analyzing the information and, user behavior [16]. The analysis of social media behaviors is an important thing for business [17].…”

Section: Social Mediamentioning

confidence: 99%

Impact of Alignment between Social Media and Business Processes on SMEs’ Business Process Performance: A Conceptual Model

Annisa

2019

Procedia Computer Science

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The development of information technology highly affects various business sectors including Small and Medium Enterprises (SMEs). Social media implementation, as one of the most widely used IT application, is expected to support SMEs' performances. Many types of research in social media have focused on the impact of its implementation on the performance of an organization at a macro level. Research that investigates the linkage between social media and how the company performs its business process is lacking in the literature to date. This study aims to fill this gap by conducting a literature review on social media implementation particularly in SMEs. The result of this study is a conceptual model that follows the proposition of Task-Technology Fit in exploring the impact of social media on SMEs business process performances. As a technology, social media functionality must fit the tasks that SMEs must perform. The model proposed social media alignment with business process domain based on the Process Classification Framework (PCF). The performances are measured at a business process level using four indicators i.e. cost, time, quality and flexibility of the business process. AbstractThe development of information technology highly affects various business sectors including Small and Medium Enterprises (SMEs). Social media implementation, as one of the most widely used IT application, is expected to support SMEs' performances. Many types of research in social media have focused on the impact of its implementation on the performance of an organization at a macro level. Research that investigates the linkage between social media and how the company performs its business process is lacking in the literature to date. This study aims to fill this gap by conducting a literature review on social media implementation particularly in SMEs. The result of this study is a conceptual model that follows the proposition of Task-Technology Fit in exploring the impact of social media on SMEs business process performances. As a technology, social media functionality must fit the tasks that SMEs must perform. The model proposed social media alignment with business process domain based on the Process Classification Framework (PCF). The performances are measured at a business process level using four indicators i.e. cost, time, quality and flexibility of the business process.

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Section: Social Mediamentioning

confidence: 99%

Impact of Alignment between Social Media and Business Processes on SMEs’ Business Process Performance: A Conceptual Model

Annisa

2019

Procedia Computer Science

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“…By gathering information from different resources and then analyzing that information, the behavior of the users can be examined. In this research, we have collected different studies about assessing human behavior with the help of social media and compared them according to the different methods used by different authors [3].…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Demographic and Behavior Trends Using Social Media: Facebook, Twitter, and Instagram

Singh

Halgamuge

Moses

2019

Social Network Analytics

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“…en Sentiment Analysis y el estudio de muestras en redes sociales como Facebook y Twitter, han analizado las opiniones y perspectivas que tienen los usuarios con respecto al género (Larson, 2017;Prabhakaran & Rambow, 2017;Keith, 2017), en relación al bienestar social (Schwartz et al, 2016) y para detectar estados de depresión en sus usuarios (Wang, Zhang, Ji, Sun & Wu, 2013) y política (Mihaltz & Váradi, 2015). También, se ha comprobado su efectividad como complemento a las encuestas electorales (Ceron et al, 2014); para predecir futuras tendencias en el ámbito de mercado (Asur & Huberman, 2010) y para detectar cambios emocionales significativos en un ambiente de elearning (Ortigosa, Martin & Carro, 2014).…”

Section: Introductionunclassified

Maternidad en Perú a través del uso del Sentimient Analysis en Facebook

Seperak-Viera

Cerellino

Ochoa-Luna

et al. 2019

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Pages 1032 comments. First quantitative conclusions show a positive evidence of the mother woman (5127 comments) leaving a large gap regarding the negative comments (1777). Conclusions. The categorization of the qualitative analysis of the comments gave rise to 4 groups of meanings: super mom, motherhood as a blessing and the source of affection, motherhood as a rejected option and the search for new concepts of motherhood.

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TrendMiner: Large-scale analysis of political attitudes in public facebook messages

Abstract: Abstract-This paper presents the methods and results of a project that collects and analyses public comments written in response to political posts on Facebook using natural language processing and social psychological methods in order to explore emotional attitudes and social behavior.

Cited by 4 publications

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Impact of Alignment between Social Media and Business Processes on SMEs’ Business Process Performance: A Conceptual Model

Impact of Alignment between Social Media and Business Processes on SMEs’ Business Process Performance: A Conceptual Model

An Analysis of Demographic and Behavior Trends Using Social Media: Facebook, Twitter, and Instagram

Maternidad en Perú a través del uso del Sentimient Analysis en Facebook

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