This workshop aims to identify the leading natural language processing (NLP) methods currently used in economics, develop a comprehensive discussion on how these methods are and should be implemented, discuss application-specific issues, and establish rigorous benchmark procedures. 

As such, we would like to invite researchers to submit papers applying NLP methods to analyse text.  Examples of such methods are:

• Algorithms for reduction of dimensionality (e.g., bag-of-word models, word and doc. embeddings); 

• Unsupervised classification methods (e.g., clustering algorithms, unsupervised topic models); 

• Supervised classification methods (e.g., semi-supervised and supervised topic models);

• Transformer-based methods (e.g., Large Language Models, LLMs, and BERT).

Keynote speakers: 

• Andreas Hoefele (Ofcom);

• Arianna Ornaghi (Hertie School);

• Carlo Schwarz (Bocconi University).

SUBMISSION

Please submit your paper or extended abstract here. If you have any issues whilst submitting, please email your paper at text.as.data.lancaster.workshop@gmail.com. Please specify your name, affiliation, and the type(s) of NLP method(s) you use.

SUBMISSION DEADLINE

 *EXTENDED* to March 24, 2025 12am GMT 

NOTIFICATION OF ACCEPTANCE

Authors will be notified about the acceptance of their paper by 3 April 2025. Invited speakers will be asked to fund their travel / accommodation expenses. No registration fee will be asked to both invited speakers and attendees. Food and beverages will be provided throughout the workshop (including a workshop dinner by invitation).

DATES AND VENUE

May 15 (starting at 9:30am) and May 16 (until 1:30pm), 2025

Lancaster Suite at Lancaster Castle, 

Castle Hill, LA1 1YN Lancaster, UK

ORGANIZERS

• Jacopo Bregolin (University of Liverpool);

• Giuseppe de Feo (University of Liverpool);

• Marit Hinnosaar (University of Nottingham);

• Jaime Marques Pereira (Lancaster University). 

FUNDERS

• Lancaster University Management School;

• Lancaster University Data Science Institute.