Mobilizing Text As Data

Textual analysis methods have become increasingly popular and powerful tools for researchers in finance accounting to extract meaningful information from unstructured text data. This paper surveys the recent applications of these various domains, such as corporate disclosures, earnings calls, investor relations, social media. It also discusses advantages challenges different textual methods, keyword lists, pattern-based sequence classification, word embedding, other large language models. We provide guidance on how choose appropriate validate text-based measures, report evidence effectively. conclude by suggesting some promising directions future research using