{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/constructing-a-polarity-based-dictionary-for","title":"Constructing a Polarity Based Dictionary for Financial Language","arxiv_id":null,"date":"2023-05-19","proceeding":"NA 2023 5","authors":["Lucy Chenhui Li","Amir Amel-Zadeh"],"abstract":"Extracting and quantifying features from noisy financial language is an ex-\r\ntremely difficult task, especially without the availability of abundant computing\r\n\r\nresources. It is often difficult to assess whether language description on com-\r\npany performance adhere to the realities of financial metrics. Organizations and\r\n\r\nresearchers would benefit from using a general-purpose financial language dictio-\r\nnary to quantify financial performance. Currently, the only set of dictionaries\r\n\r\nwidely available is the Loughran McDonald [LM11] dictionary, but this resource\r\nonly quantifies sentiment. We instead seek to develop open sourced toolkit that\r\nwould allow researchers to dive deeper into the content of financial accounting\r\ntexts. Our paper aims to develop such a dictionary over vocabulary from 87,834\r\nmanagement disclosure and analysis sections over the years 1998 - 2021. Using\r\nrelevant financial indicators of the associated years, we show that the dictionaries\r\nwe construct to statistically accurately reflect financial performance.","url_abs":"https://drive.google.com/file/d/1UwgTCrnr__8iZqehFts-tNNzw0Kbu1Cg/view","url_pdf":"https://drive.google.com/file/d/1UwgTCrnr__8iZqehFts-tNNzw0Kbu1Cg/view","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"constructing-a-polarity-based-dictionary-for","repo_url":"https://github.com/chenhuililucy/Categorical-Financial-Dictionaries","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"management","task_name":"Management"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}