Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding ofthe Impact of Non-GAAP Measures in Financial Reporting

Stacey Taylor, Vlado Keselj


Anthology ID:
2020.finnlp-1.7
Volume:
Proceedings of the Second Workshop on Financial Technology and Natural Language Processing
Month:
5 January
Year:
2020
Address:
Kyoto, Japan
Venue:
FinNLP
SIG:
Publisher:
-
Note:
Pages:
40–46
Language:
URL:
https://aclanthology.org/2020.finnlp-1.7
DOI:
Bibkey:
Cite (ACL):
Stacey Taylor and Vlado Keselj. 2020. Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding ofthe Impact of Non-GAAP Measures in Financial Reporting. In Proceedings of the Second Workshop on Financial Technology and Natural Language Processing, pages 40–46, Kyoto, Japan. -.
Cite (Informal):
Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding ofthe Impact of Non-GAAP Measures in Financial Reporting (Taylor & Keselj, FinNLP 2020)
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https://preview.aclanthology.org/auto-file-uploads/2020.finnlp-1.7.pdf