Racket 发表于 2025-3-21 18:46:14
书目名称Data Science影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0263041<br><br> <br><br>书目名称Data Science读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0263041<br><br> <br><br>Arctic 发表于 2025-3-21 22:56:39
Stylianos Sergis,Demetrios G. Sampsonaction based on syntactic parsing is used to get keywords of each evidence and fact. Text similarity measure based on Word2vec and keyword overlap ratio calculation is used to get the connection point of evidence chain. Predefined weight of different kinds of evidence can be used to measure the impo确定的事 发表于 2025-3-22 00:26:58
Jim Allen,Yuki Inenaga,Keiichi Yoshimotod, and proves the validity of these two methods in the sentiment analysis task. At the same time, the emotion adjustment method based on skip-gram model is more effective than the method based on semantic similarity.Incisor 发表于 2025-3-22 07:37:45
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The Competency of Definitions of Competencyan improve the accuracy rate by about 47% and 8% respectively. This method gets some new terms that are not contained in the thesaurus. It verifies the effectiveness of machine learning in term extraction.一瞥 发表于 2025-3-22 13:03:56
https://doi.org/10.1007/978-94-007-5386-0ults show that the accuracy rate, recall rate and F value that we got in an unaddressed artificial features condition are 98.81%, 90.70% and 91.57% respectively which is better than the results we got by using the method of BILSTM+CRF and conditional random field (CRF).一瞥 发表于 2025-3-22 19:15:46
Richard LeSar,Alan Bishop,Robert Heffnerh. Then, we obtained attraction vectors and user vectors fused with feature attributes of attractions and spatial-temporal semantics. At last we calculate the correlation between tourists and attractions with cosine similarity to give a list of recommendations. Our evaluation on real travel spatial-Canyon 发表于 2025-3-23 00:49:09
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Automatic Generation of Multiple-Choice Items for Prepositions Based on Word2vec,hauteur 发表于 2025-3-23 07:00:06
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