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The Analysis of YouTube Channels' Efficiency on the Example of "Ace Attorney" Video Game Series' Let's Plays

Student: Anastasia Baranova

Supervisor: Valentina Kuskova

Faculty: International laboratory for Applied Network Research

Educational Programme: Applied Statistics with Network Analysis (Master)

Year of Graduation: 2021

This research is about the viewers’ engagement on the Russian Let’s Plays of the “Ace Attorney” video game series on “YouTube” and studying the factors affecting it. For this paper, a textual and regression analysis of the collected data from the videos of Russian-speaking channels uploading this content was conducted. Based on the results of regressions with Ridge regularization and elastic net, the influence of such factors as video length, day and time of loading, and others on the viewers’ engagement rate was assessed. Also, the commentaries’ sentiment analysis and counting term frequencies revealed certain words that might help the video creators to improve their content. This work can be useful for both channels’ authors and advertisers.

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