An Approach Towards Identification and Prevention of Riots by Analysis of Social Media Posts in Real-Time

Sachdeva, Arjit; Kapoor, Rishabh; Sharma, Amit; Mishra, Akshit

doi:10.1109/confluence.2018.8442714

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…The Politics domain is the dominant application area with 45 studies applying social opinion mining on different events, namely elections [453,103,197,50,121,87,88,157,53,327,244,539,421,422,337,203,168,368,442,222,520,178,212,184,117,511,190,441,310,406,82], reforms, such as equality marriage [130], debates [180], referendums [241,540], political parties or politicians [60,111,466], and political events, such as terrorism, protests, uprisings and riots [420,437,330,556,205,248,188].…”

Section: Application Areas Of Social Opinion Miningmentioning

confidence: 99%

Over a Decade of Social Opinion Mining: A Systematic Review

Cortis,

Davis

2020

Preprint

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Social media popularity and importance is on the increase, due to people using it for various types of social interaction across multiple channels. This social interaction by online users includes submission of feedback, opinions and recommendations about various individuals, entities, topics, and events. This systematic review focuses on the evolving research area of Social Opinion Mining, tasked with the identification of multiple opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm and irony, from user-generated content represented across multiple social media platforms and in various media formats, like text, image, video and audio. Therefore, through Social Opinion Mining, natural language can be understood in terms of the different opinion dimensions, as expressed by humans. This contributes towards the evolution of Artificial Intelligence, which in turn helps the advancement of several real-world use cases, such as customer service and decision making. A thorough systematic review was carried out on Social Opinion Mining research which totals 485 studies and spans a period of twelve years between 2007 and 2018. The in-depth analysis focuses on the social media platforms, techniques, social datasets, language, modality, tools and technologies, natural language processing and other

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Section: Application Areas Of Social Opinion Miningmentioning

confidence: 99%

Over a Decade of Social Opinion Mining: A Systematic Review

Cortis,

Davis

2020

Preprint

View full text Add to dashboard Cite

show abstract

A Method of Automatic Social Tension Detection on the Internet Based on Cognitive Analysis and Individual’s Emotional State

Iakov,

Klimenko,

Safronenkova

2022

Artificial Intelligence Trends in Systems

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Over a decade of social opinion mining: a systematic review

Cortis

Davis

2021

Artif Intell Rev

View full text Add to dashboard Cite

Social media popularity and importance is on the increase due to people using it for various types of social interaction across multiple channels. This systematic review focuses on the evolving research area of Social Opinion Mining, tasked with the identification of multiple opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm and irony, from user-generated content represented across multiple social media platforms and in various media formats, like text, image, video and audio. Through Social Opinion Mining, natural language can be understood in terms of the different opinion dimensions, as expressed by humans. This contributes towards the evolution of Artificial Intelligence which in turn helps the advancement of several real-world use cases, such as customer service and decision making. A thorough systematic review was carried out on Social Opinion Mining research which totals 485 published studies and spans a period of twelve years between 2007 and 2018. The in-depth analysis focuses on the social media platforms, techniques, social datasets, language, modality, tools and technologies, and other aspects derived. Social Opinion Mining can be utilised in many application areas, ranging from marketing, advertising and sales for product/service management, and in multiple domains and industries, such as politics, technology, finance, healthcare, sports and government. The latest developments in Social Opinion Mining beyond 2018 are also presented together with future research directions, with the aim of leaving a wider academic and societal impact in several real-world applications.

show abstract

An Approach Towards Identification and Prevention of Riots by Analysis of Social Media Posts in Real-Time

Cited by 4 publications

References 5 publications

Over a Decade of Social Opinion Mining: A Systematic Review

Over a Decade of Social Opinion Mining: A Systematic Review

A Method of Automatic Social Tension Detection on the Internet Based on Cognitive Analysis and Individual’s Emotional State

Over a decade of social opinion mining: a systematic review

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