Machine Learning for Textual and Unstructured Data Seminar | IESE Business School

Machine Learning for Textual and Unstructured Data

Fundación Ramón Areces - IESE Business School Seminar · June 2023

Dates: June 19-23, 2023

Venues: Fundación Ramón Areces, Vitruvio 5, 28006 Madrid (June 19-20) and IESE Business School, Madrid campus, Camino del Cerro del Águila 3, 28023 Madrid (June 21-23).

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.
  • Coding will be done in Python. Knowledge of Python is not required, and we will provide extra materials and in-class support on coding for participants.
  • 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.

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 15, 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 March 31.

For any questions on the program or the registration process, please contact us at cif@iese.edu.

Apply

Monday, June 19 – Thursday, June 22

09:30 Reception and Welcome

09:45-10:45 Lecture

11:00-12:00 Lecture

12:15-13:15 Lecture

13:30 Lunch

14:30-15:30 Coding Session

16:00-17:00 Coding Session

17:00-17:15 Coffee Break

17:15-18:30 Participants’ Presentations


Thursday, June 22

20:30 Gala Dinner

Place: tbd


Friday, June 23

10:00-11:30 Keynote Lecture

11:45-13:15 Keynote Lecture

13:30 Lunch

NH Madrid Zurbano

NH Madrid Zurbano

Calle Zurbano, 79-81, 28003 Madrid

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NH Madrid Chamberí

NH Madrid Chamberí

Calle Zurbano, 79-81, 28003 Madrid

Go to the website

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