Carmen GALLUCCI | Progetti

This study examines how sentiment emerging from comments posted about equity crowdfunding campaigns, as well as market-level sentiment from social media, drives herding behavior across different countries. Sentiment is operationalized using both a dictionary-based approach and natural language processing (NLP) techniques based on Bidirectional Encoder Representations from Transformers (BERT). Util

This research project aims to determine whether "familiness" correlates with successful equity crowdfunding fundraising. To do so, it relies on a sample of closed equity crowdfunding campaigns posted on the websites of the equity crowdfunding platforms authorized to operate in Italy. The "familiness" construct is extracted from the pitches of equity crowdfunding campaigns using the text analysis s