Processing Internet signals in humanitarian applications - a joint seminar by Natural Language Laboratory and SCILA

During the joint seminar of the Social and Cognitive Informatics Laboratory (SKILA) and the Natural Language Laboratory (NLL) at HSE University on March 19, 2024, Anna Pushkareva (Boldyreva) spoke. She is a leading analyst at the IT company PARMA Technologies Group, a lecturer at MIPT, and a consultant at IEMIT RANEPA.

The research by Anna Pushkareva examines the problem of using Internet signals in analysis and forecasting tasks encountered in economics, business analytics, sociology, healthcare, and law enforcement.

The term "signals" reflects two sources of information: queries to Internet search servers such as Yandex, Google, Rambler, etc., and mentions on web pages related to official websites, news feeds, social networks, etc. The term "indicators" is introduced to denote user-specific parameters related to certain time and place, provided by government or private organizations.

The following approaches were reflected in the report:
1) The method of signal reduction based on indicator dynamics (big data);
2) The method of graphical formation of descriptor databases;
3) The method of assessing the impact of news from regions on indicator values;
4) The method of monitoring regions for anomalous signals;
5) The method of comparing regions with double scaling of signals and indicators;
6) The Quantum software suite for obtaining and pre-processing signals and indicators.

Examples of tasks from the aforementioned subject areas where the developed tools are used were provided.