Titlebook: Generative Methods for Social Media Analysis; Stan Matwin,Aristides Milios,Fran?ois Théberge Book 2023 His Majesty the King in Right of Ca

Braggart

書目名稱Generative Methods for Social Media Analysis影響因子(影響力)




書目名稱Generative Methods for Social Media Analysis影響因子(影響力)學科排名




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書目名稱Generative Methods for Social Media Analysis網(wǎng)絡公開度學科排名




書目名稱Generative Methods for Social Media Analysis被引頻次




書目名稱Generative Methods for Social Media Analysis被引頻次學科排名




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書目名稱Generative Methods for Social Media Analysis年度引用學科排名




書目名稱Generative Methods for Social Media Analysis讀者反饋




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拍翅

https://doi.org/10.1007/978-3-030-80791-7d from human-written texts. In light of the myriad of potential dangers relating to machine-generated text that is more and more humanlike, an overview of existing detection methods is presented, and the limitations of these detection methods are examined.

故意

Benign

費解

Jennifer Wilhelm,Ronald Wilhelm,Merryn Coleing the spreading of in uence or diseases, formation of friendships, the productivity of teams, etc. Networks, on the other hand, may capture various complex relationships providing an additional insight and identifying important patterns that would otherwise go unnoticed.

intimate

intimate

Introduction,a data. It fills a void, as the existing survey articles are either much narrower in their scope [7] or are dated [18, 220, 253]. We included two important aspects that currently gain importance in mining and modelling social media: dynamics and networks. Social dynamics are important for understand

absolve

Ontologies and Data Models for Cross-platform Social Media Data,ook, Twitter, and Instagram boast over two billion monthly active users, and as such, their ability to directly and indirectly connect the world‘s population has never been easier or more far reaching.

大溝

Methods for Text Generation in NLP,ks to assess the potential dangers of increasingly more “effective” generative methods, as measured by how easy it is to distinguish the text generated from human-written texts. In light of the myriad of potential dangers relating to machine-generated text that is more and more humanlike, an overvie

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