希望
发表于 2025-3-30 11:06:16
Automatic Detection of Hidden Communities in the Texts of Russian Social Network Corpus, topic labeling. Specific linguistic parameters of Russian posts were revealed for correct language processing. The results justify the use of the algorithm that can be further integrated with already developed graph methods.
绑架
发表于 2025-3-30 12:25:28
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Anguish
发表于 2025-3-30 17:27:13
Conference proceedings 2020nland, in October 2020. .The 11 revised full papers and 3 short papers were carefully reviewed and selected from 36 submissions. Additionally, the volume presents 1 shared task paper. The volume presents recent research in areas of of text mining, speech technologies, dialogue systems, information r
observatory
发表于 2025-3-31 00:10:39
Alois Haas,Dieter Koschel,Ulrich Niemannlevoting scoring system to the results of the sentiment analysis of tweets. A predicted rank for each performance resulted in a Spearman . correlation coefficients of 0.62 and 0.74 during the televoting period for the lexicon sentiment-based and deep learning approaches, respectively.
VALID
发表于 2025-3-31 02:41:48
https://doi.org/10.1007/978-3-662-06318-7 the approach for document relevance ranking has been evaluated using a gold standard set of inter-document similarities. We show that a linear combination of similarities derived from the individual models provides a robust automatic similarity assessment for ranking the case law documents for retrieval.