Beginning with exploring the way for rumor free social networks

Ahmad, Tameem; Ahmed, Sayyed Usman; Ali, Syed Omar; Khan, Rifa

doi:10.1080/09720510.2020.1724623

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Cited by 5 publications

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“…Apart from extracting the emotions, the data mining techniques and algorithms when applied on such social networking data can help in extracting valuable and meaningful information [4]. Similarly, concept of Sentiment Analysis along with various heuristic models can be drawn into use for the identification as well as mitigation of rumor posts circulating in social networking websites [5].…”

Section: Introductionmentioning

confidence: 99%

Analyzing the depression and suicidal tendencies of people affected by COVID-19’s lockdown using sentiment analysis on social networking websites

Sharma

2020

Journal of Statistics and Management Systems

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Section: Introductionmentioning

confidence: 99%

Analyzing the depression and suicidal tendencies of people affected by COVID-19’s lockdown using sentiment analysis on social networking websites

Sharma

2020

Journal of Statistics and Management Systems

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Detection of Depression Signals from Social Media Data

Ahmad

Ahmed

Ahmad

2021

Smart Connected World

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Impact of infectious diseases on international business : A comprehensive literature review

Alsuwailem

Saudagar

2020

Journal of Interdisciplinary Mathematics

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This review paper seeks to understand the impact of infectious diseases on international business. A comprehensive literature review (CLR) is done using Google scholar and Saudi Digital Library (SDL). Research, review articles presented and published in conference proceedings, magazines, journals, books and etc., were all taken into consideration. In total 40 documents were considered from 2016 to 2020 which are mainly related to the scope as sample size to write this review paper. The sample explains the types of infectious diseases, health challenges, treatment and supportive care, impact on international businesses, economic challenges and disruption management, economic development of the country, effected regions and countries impacted due to infectious diseases, Mathematical Modeling usage in infectious diseases and technologies to overcome the problem. This CLR could be considered as a helpful resource for scholars and researchers who are seeking to understand the critical perspectives on international business and financial burden on country economy because of spreading of infectious diseases.

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Beginning with exploring the way for rumor free social networks

Cited by 5 publications

References 15 publications

Analyzing the depression and suicidal tendencies of people affected by COVID-19’s lockdown using sentiment analysis on social networking websites

Analyzing the depression and suicidal tendencies of people affected by COVID-19’s lockdown using sentiment analysis on social networking websites

Detection of Depression Signals from Social Media Data

Impact of infectious diseases on international business : A comprehensive literature review

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