1.1k citations · 1.1k across the 5 of their papers we have counts for
5 papers
Concept Navigation and Classification via Open-Source Large Language Model Processing
Maël Kubli
This paper presents a novel methodological framework for detecting and classifying latent constructs, including frames, narratives, and topics, from textual data using Open-Source…
Exploring Relationships Between Cryptocurrency News Outlets and Influencers' Twitter Activity and Market Prices
Meysam Alizadeh, Yasaman Asgari, Zeynab Samei +7
Academics increasingly acknowledge the predictive power of social media for a wide variety of events and, more specifically, for financial markets. Anecdotal and empirical findings…
Comparing Methods for Creating a National Random Sample of Twitter Users
Meysam Alizadeh, Darya Zare, Zeynab Samei +5
Twitter data has been widely used by researchers across various social and computer science disciplines. A common aim when working with Twitter data is the construction of a random…
Open-Source LLMs for Text Annotation: A Practical Guide for Model Setting and Fine-Tuning
Meysam Alizadeh, Maël Kubli, Zeynab Samei +5
This paper studies the performance of open-source Large Language Models (LLMs) in text classification tasks typical for political science research. By examining tasks like stance,…
ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
Fabrizio Gilardi, Meysam Alizadeh, Maël Kubli
Many NLP applications require manual data annotations for a variety of tasks, notably to train classifiers or evaluate the performance of unsupervised models. Depending on the size…