How Machine Learning Models Help in Doing Analytics (second webinar in a series on the iFORA system)
On October 31, 2023, the second webinar of the autumn series of webinars on the capabilities of the iFORA big data mining system will take place. It will be dedicated to machine learning models that can be used in analytics with iFORA (English: Machine Learning models — ML models).
A series of open lectures on the use of big data analysis tools in ISSEK research activities is organised by the developer of the iFORA system — the Center for Strategic Analytics and Big Data within the framework of the world-class Human Capital Multidisciplinary Research Centre.
ISSEK Information and Analytical Systems Department employees Mariia Antasheva, Mariia Svarchevskaya and Polina Lobanova will talk about the types of tasks when ML models are used in the iFORA system, and by using the example of specific social and humanitarian projects speakers will demonstrate formats for presenting results obtained with the help of these models.
What is the lecture about?
Analysts are not able to cover all the trends emerging in a particular area if we rely only on traditional methods of searching and processing information. To extract new knowledge from constantly generated (not only by people but also by machines) data sets, machine learning is used in various fields — from banking to logistics.
This toolkit is based on certain models that, with varying speeds and completeness, allow you to analyze big data and even work “in advance” (update analysis results in real-time). The iFORA system also uses ML models, in particular, a sentiment analysis model, a trend model, a named entity recognition model, a forecast model, etc.
With the help of these models, ISSEK analysts, for example, assess the reputational footprint of an organisation or any technology, make forecasts supported by quantitative data, identify centres of competence, determine market development trends, and much more.
For each type of similar tasks, there are special visual analytical forms — formats for the most visual and informative presentation of the obtained data.
Who might be interested in the lecture and how to get involved?
We invite undergraduate and graduate students, young researchers, and all persons interested in the current human capital agenda and big data analytics tools.
Time and date: October 31, 2023, 16:30 — 17:30
Meeting format: online, Yandex. Telemost platform
To participate, you need to register via the link below.
Any questions left? Contact Maria Svarchevskaya (msvarchevskaya@hse.ru)