Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis

Ali, Kashif; Hamilton, Margaret; Thevathayan, Charles; Zhang, Xiuzhen

doi:10.1007/978-3-319-94289-6_31

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Regarding the former, the majority of them [544,545,546,547,548,549,550,551] were not specifically focused on social opinion mining (this was secondary), in contrast to the others [552,553,554,555,556]. As for the automated approaches [557,558,559,560], some of them used cloud services, such as Microsoft Azure Text Analytics 59 or out-of-the-box functionality provided by existing tools/software libraries, such as the TextBlob 60 Python library.…”

Section: Othermentioning

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: Othermentioning

confidence: 99%

Over a Decade of Social Opinion Mining: A Systematic Review

Cortis,

Davis

2020

Preprint

View full text Add to dashboard Cite

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Big Data Quality Models: A Systematic Mapping Study

Montero

Crespo

Piatini

2021

Communications in Computer and Information Science

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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.

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Big Social Data as a Service: A Service Composition Framework for Social Information Service Analysis

Cited by 3 publications

References 21 publications

Over a Decade of Social Opinion Mining: A Systematic Review

Over a Decade of Social Opinion Mining: A Systematic Review

Big Data Quality Models: A Systematic Mapping Study

Over a decade of social opinion mining: a systematic review

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