Over a Decade of Social Opinion Mining.
作者： Keith Cortis , Brian Davis
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摘要: Social media popularity and importance is on the increase, due to people using it for various types of social interaction across multiple channels. This by online users includes submission feedback, opinions recommendations about individuals, entities, topics, events. systematic review focuses evolving research area Opinion Mining, tasked with identification opinion dimensions, such as subjectivity, sentiment polarity, emotion, affect, sarcasm irony, from user-generated content represented platforms in formats, like text, image, video audio. Therefore, through natural language can be understood terms different expressed humans. contributes towards evolution Artificial Intelligence, which turn helps advancement several real-world use cases, customer service decision making. A thorough was carried out Mining totals 485 studies spans a period twelve years between 2007 2018. The in-depth analysis platforms, techniques, datasets, language, modality, tools technologies, processing tasks other aspects derived published studies. Such multi-source information fusion plays fundamental role mining people's platforms. These utilised many application areas, ranging marketing, advertising sales product/service management, domains industries, politics, technology, finance, healthcare, sports government. Future directions are presented, whereas further development has potential leaving wider academic societal impact.
arxiv.org
harvard.edu参考文章(552)
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