From: 2022-03-17 11:15 to 12:00
Place: In Zoom: https://lu-se.zoom.us/j/67990515091?pwd=anBWdjRJL2FpMTl6azgrMDZlMnBMUT09
Contact: birger [dot] swahn [at] cs [dot] lth [dot] se

One Computer Science MSc thesis to be presented on 17 March

Thursday, 17 March there will be a master thesis presentation in Computer Science at Lund University, Faculty of Engineering.

The presentation will take place in Zoom: https://lu-se.zoom.us/j/67990515091?pwd=anBWdjRJL2FpMTl6azgrMDZlMnBMUT09

Note to potential opponents: Register as an opponent to the presentation of your choice by sending an email to the examiner for that presentation (firstname.lastname@cs.lth.se). Do not forget to specify the presentation you register for! Note that the number of opponents may be limited (often to two), so you might be forced to choose another presentation if you register too late. Registrations are individual, just as the oppositions are! More instructions are found on this page.

11:15-12:00

Presenter: Nik Johansson
Title: Named Entity Recognition on Transaction Descriptions
Examiner: Marcus Klang
Supervisors: Pierre Nugues (LTH), Trent Woodbury (Tink AB)

With the surge of open banking, there is a large increase in applications being based on transaction data. Therefore there is a need for being able to extract important information from transaction descriptions in a structured way. We propose a model for named entity recognition on transaction descriptions that can identify and classify organizations, locations, persons, payment providers and products/apps with a chunk F1 score 0.849, despite only using 2200 transactions for training and transaction descriptions being messy. This is, to the best of our knowledge, the first published report on named entity recognition for transaction descriptions. Additionally we were able to use features from our named entity recognition and develop a new model for transaction categorization that outperformed the existing models for transaction categorization at Tink.

Link to popular science summary: To be uploaded