On the Experience of Statistical Processing of Memes in Big Data Format

被引：1

作者：

Potapova, Rodmonga ^{[1
]}

Potapov, Vsevolod ^{[2
]}

Gorbunov, Petr ^{[1
,3
]}

机构：

[1] Moscow State Linguist Univ, Inst Appl & Math Linguist, Ostozhenka St 38, Moscow 119034, Russia

[2] Lomonosov Moscow State Univ, Ctr New Technol Humanities, Leninskije Gory 1, Moscow 119991, Russia

[3] Russian Acad Sci, Inst Sci Informat Social Sci, Period Preparat Dept, Nakhimovsky Prospekt 51-21, Moscow 117418, Russia

来源：

PROCEEDINGS OF NINTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, ICICT 2024, VOL 4 | 2024年 / 1014卷

基金：

俄罗斯科学基金会;

关键词：

Memetics; Russian language; English-American and German-language segments of the Internet; Network communication; Toxicity" patterns; Multimodal polycode database; Big data;

D O I：

10.1007/978-981-97-3562-4_24

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the results of a study regarding "toxicity" of Internet communication, which has become one of the priority research areas for modern applied linguistics. In particular, the analysis performed demonstrated the capabilities of research tools that are relevant to the science of language and make it possible to significantly simplify the processing of linguistic material obtained from various network sources. Notably, the functionality of modern software products (implemented, in particular, through cloud technologies) allows for in-depth annotation (according to Potapova and Potapov (K opytu glubinnogo annotirovaniya polikodovykh Internet Big Data (primenitelno k Digital Humanities) [On the experience of in-depth annotation of polycode Internet Big Data (as applied to Digital Humanities)]. In: Soft Measurement and Computing. Nauchnaya biblioteka, Moscow, pp. 40-43, 2019 [9]) of linguistic databases collected for the specific needs.

引用

页码：297 / 304

页数：8

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