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Making Personal Diary Smart: from Productivity to Satisfaction

Student: Nafyeye Al-kazir

Supervisor: Sergei Kuznetsov

Faculty: Faculty of Computer Science

Educational Programme: Data Science (Master)

Year of Graduation: 2021

Explanatory note demonstrates the results of the master project "Comprehensive intellectualization of a personal diary: productivity to satisfaction." The result of the work is a web based application - personal diary - which is focused on storing private messages and tasks of consumers, collecting statistics and its analysis, and providing recommendations based on the collected statistics. The most significant objectives of the platform are (1) analyzing user sentiment, (2) creating tasks and monitoring their performance, (3) collecting grades, and (4) recommendations for improving user mood. The explanatory note contains pages, figures, listings, tables, attachments. The work consists of an introduction, research, technological and design parts and a conclusion. The theoretical structure considers similar information platforms, the concepts of "fast transformation of haf", "morphological filters", "analysis of formal concepts" and "analysis of the sentiment of the text", the relevance of the work and the conclusion. The technical chapter contains a description of the general representations of the system, the presentation of the diagram in UML, the ER diagram, as well as the basic algorithms for the operation of their modules of the web platform and block diagrams. The second part illustrates in detail the nature of structural modules.

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