New publications on extracting events and sentiment for financial news

Two recent publications on fine-grained information extraction in company-specific news using deep learning.

Posted on October 26, 2021

I am happy to announce two new open access publications in the SENTiVENT project marking the end of my PhD and culminating in my dissertation. [Read More]
Tags: economic events fine-grained sentiment analysis deep learning financial nlp sentivent open access journal publications research machine learning

CLIN31: Join our session on COVID19 Stance and Opinion and poster on financial polar facts.

Chairing session and poster on economic NLP research.

Posted on July 8, 2021

Our research group organizes the 31st edition of Computational Linguistics in the Netherlands (CLIN31) this year. Join me as I chair the session on COVID-19: Stance and Opinion in Room B to get the latest research on sentiment analysis, stance and topic detection related to the coronavirus pandemic. [Read More]
Tags: economic events financial nlp sentivent presentation clin31 research machine learning

Extracting Fine-Grained Economic Events from Business News.

New publication and presentation in economic NLP research.

Posted on December 12, 2020

I will be presenting new work on economic event extraction at the FNP-FNS workshop @ COLING2020. TL;DR: We created a dataset and system that automatically gets “what, who, when, how much, and why” is happening from economic news text. Turns out this is quite a difficult task, even with using... [Read More]
Tags: economic events financial nlp sentivent presentation coling2020 research machine learning