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I. S. Blekanov

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Showing 1-3 of 3 records
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6th SWS International Scientific Conference on Social Sciences ISCSS 2019
Publication

NAVIGATION OR LAYOUT? ELEMENTS OF WEB DESIGN AND THEIR COMBINATION ON HIGH-RANK PAGES OF UNIVERSITY WEB PORTALS

(STEF92 Technology, 2019, S. S. Bodrunova, S. L. Sergeev, I. S. Blekanov, A. S. Yakunin)

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TodayВ’s research upon efficiency of user interaction with large web portals has established links between webpage popularity and crucial elements of webpage design, such as page layout and navigation on the portal, or, more narrowly, menu design. But despite their established importance, the two aforementioned elements of web design are next to never studied together, and their relative roles in rising webpage ranks are virtually unknown. In this paper, we assess pages with high betweenness centrality within the ...

SOCIAL SCIENCES: Section Information and Library Science2019
6th SWS International Scientific Conference on Social Sciences ISCSS 2019
Publication

TOPIC MODELING FOR TWITTER DISCUSSIONS: MODEL SELECTION AND QUALITY ASSESSMENT

(STEF92 Technology, 2019, S. S. Bodrunova, I. S. Blekanov, M. Kukarkin)

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Topic modeling is a method of automated definition of subtopics in a text corpus. Usage of topic modeling for short texts, e.g. tweets, is highly complicated due to their short length and grammatical restructuring, including broken word order, abbreviations, and contamination of different languages. In this paper, the authors use the BTM topic modelling algorithm (previously found to work best in comparison with two other topic models measured by automated coherence metrics Umass and NPMI) to test three topic qual...

SOCIAL SCIENCES: Section Media, Communications, and Misinformation in the Digital Age2019
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publication

SENTIMENT AND TOPICAL ANALYSIS FOR FRENCH TWITTER: THE CASE OF INTER-ETHNIC CONFLICTS

(STEF92 Technology, 2018, S. S. Bodrunova, I. S. Blekanov, Y. Danilova, N. Zhuravleva, M. Kukarkin)

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Sentiment analysis for the French language remains an under-developed research area. At the same time, sentiment analysis works well for identifying conflictual discourses in English. Today, identifying sentiment in social networks and microblogs, including Twitter, is a growing area of studies, but despite French is one of the most popular post-colonial languages online, the studies of user sentiment in this language are still rare enough. Also, there are practically no studies that would link sentiment analysis ...

SOCIAL SCIENCES: Section Sociology, Social Work and Digital Learning Innovations2018
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