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Machine Learning for Textual and Unstructured Data
Social Sciences Seminar Monday, 19 to Friday, 23 June, 2023 Madrid
Organized by:
Fundación Ramón Areces and IESE Business School
- Description
- Programme
Seminar: Machine Learning for Textual and Unstructured Data
Dates: June 19-23, 2023
Venues: IESE Business School, Madrid campus, Camino del Cerro del Águila 3, 28023 Madrid (June 19-22) and Fundación Ramón Areces, Vitruvio 5, 28006 Madrid (June 23).
Language: English.
Cost: The seminar (including lunches and Thursday Gala Dinner) is free. Attendants must cover their travel and accommodation expenses.
Participants: Places are limited to 50 participants.
Description
Over the past decade, the use of unstructured data has been growing steadily in economics and related disciplines, with a rapid acceleration in the wake of COVID-19. This Machine Learning for Textual and Unstructured Data Seminar, organized by IESE and the Fundación Ramón Areces, is aimed at introducing machine learning methods for the analysis of text and unstructured data to an audience of academics and researchers in the fields of finance, economics, and accounting.
An outline of the course structure and objectives:
- This course will begin with an overview of the challenges and opportunities of working with such data with a focus on natural language.
- We first review relatively straightforward methods that operate on raw word counts across documents before studying machine learning algorithms for dimensionality reduction, which is a key problem in the analysis of text and unstructured data. These encompass factor models whose basic structure is similar to well-known econometric methods, as well as neural network models which form the basis of much of modern natural language processing.
- We also show how these ideas can be applied to non-textual data such as surveys, images and scanner data on goods purchases.
- Finally, we will discuss how these methods are employed in empirical research in economics, accounting and finance.
- Participants will also have an opportunity to present their own research in an informal but constructive environment at the end of each day.
Professors: Raffaella Sadun. Professor of Business Administration. Harvard Business School and Stephen Hansen. Professor of Economics. University College London.
Academic directors: Pietro Bonetti and Stefano Sacchetto of IESE Business School.
Teaching assistant: Yabra Muvdi.
Seminar information
This seminar is aimed at academics and researchers in the fields of finance, economics, and accounting. If you wish to take part in this seminar, you must pre-register online through the link before March 31, 2023 and upload the following documents:
- Currículum Vítae (in English).
- Personal statement, in English, on why you want to attend the program (maximum 400 words).
Places are limited to 50 participants for the 5-day program. Successful candidates will be offered a place on merit by a Selection Committee consisting of representatives of IESE and Fundación Ramón Areces. Final decisions will be communicated by the committee by April 14.
For any questions on the program or the registration process, please contact us at cif@iese.edu.
Monday to Friday, 19-23 June
Fundación Ramón Areces, Vitruvio 5, 28006 Madrid (June 23)
IESE Business School, Madrid campus, Camino del Cerro del Águila 3, 28023 Madrid (June 19-22)
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