Truman
发表于 2025-3-21 17:12:18
书目名称Social Media Processing影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0869645<br><br> <br><br>书目名称Social Media Processing读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0869645<br><br> <br><br>
单片眼镜
发表于 2025-3-21 23:49:57
978-981-10-0079-9Springer Science+Business Media Singapore 2015
植物群
发表于 2025-3-22 00:32:37
Social Media Processing978-981-10-0080-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
Femine
发表于 2025-3-22 06:01:27
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总
发表于 2025-3-22 08:47:26
https://doi.org/10.1007/978-981-10-0080-5Social media processing; Social media analysis; Social media mining; Opinion mining and sentiment analy
反应
发表于 2025-3-22 14:46:47
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彩色
发表于 2025-3-22 19:45:39
Personalized Microtopic Recommendation with Rich Information,ian model integrating user adoption behaviors, user item content information, and rich contextual information into the same principled model. We experiment with different kinds of textual and contextual information from both user and microtopic sides on a real dataset. Experimental results show that
真实的人
发表于 2025-3-22 23:09:32
PRISM: Profession Identification in Social Media with Personal Information and Community Structure,elonging to different professions. (2) We present a multi-training process to take advantages of both labeled and unlabeled data to enhance classification performance. (3) We design a profession identification method synthetically considering the confidences from personal features and community stru
amphibian
发表于 2025-3-23 05:07:54
Hybrid Model Based Influenza Detection with Sentiment Analysis from Social Networks,me of flu that we can find out which place is more likely for influenza outbreak and when is more likely for influenza outbreak in one city or a province in China. Experimental results on detecting flu situation during certain time in some locations show the robustness and effectiveness of the propo
Ptsd429
发表于 2025-3-23 07:29:13
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