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

affected

书目名称Digital Geography影响因子(影响力)




书目名称Digital Geography影响因子(影响力)学科排名




书目名称Digital Geography网络公开度




书目名称Digital Geography网络公开度学科排名




书目名称Digital Geography被引频次




书目名称Digital Geography被引频次学科排名




书目名称Digital Geography年度引用




书目名称Digital Geography年度引用学科排名




书目名称Digital Geography读者反馈




书目名称Digital Geography读者反馈学科排名

多产鱼

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