Titlebook: Digital Geography; Proceedings of the I Maxim Bakaev,Radomir Bolgov,Wei Zhang Conference proceedings 2024 The Editor(s) (if applicable) and

affected

書目名稱Digital Geography影響因子(影響力)




書目名稱Digital Geography影響因子(影響力)學科排名




書目名稱Digital Geography網絡公開度




書目名稱Digital Geography網絡公開度學科排名




書目名稱Digital Geography被引頻次




書目名稱Digital Geography被引頻次學科排名




書目名稱Digital Geography年度引用




書目名稱Digital Geography年度引用學科排名




書目名稱Digital Geography讀者反饋




書目名稱Digital Geography讀者反饋學科排名

多產魚

Monitoring Urban Population’s Quality of Life via Digital Footprint: The Case of Novosibirsk the social and physical urban environments. In our chapter we put forward a set of ten indicators, each of which is derived from the city residents’ “digital footprint”: social networks, local web portals, geo-information services, etc., and devise a formula for each of them. The indicators are org

代替

Mangle

Dysplasia

Microaneurysm

Automatic Keyword Extraction from German Journalistic Discourse Using Statistical Methodssection with topics. This chapter presents the results of automatic keyword extraction from a German journalistic articles (about 500 thousand tokens) using the following three statistical methods: log-likelihood, RAKE and YAKE algorithms. The authors identified the most frequently used keywords tha

Microaneurysm

The Cross-Evaluation Crux for Computational Phylogenetic Linguisticshes, which are often imperfect, whether performed by a human or a computer. We present a study of cross-evaluation approaches for both methods (including an interdisciplinary approach to test the linguistic findings against) and data (complementing traditional word lists by linguistic atlases, surve

高度表

Word Sense Induction in Russian: Evaluation of Corpora Preprocessing Techniques and Model Selectiontures from corpora without using knowledge bases, dictionaries, and predefined lists of word senses. This study examines the impact of data preprocessing on the performance of WSI techniques using clustering algorithms for context vector representations based on a series of BERT models for the Russi

啜泣

growth-factor