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FinLex: An effective use of word embeddings for financial lexicon generation

We present a simple and effective methodology for the generation of lexicons (word lists) that may be used in natural language scoring applications. In particular, in the finance industry, word lists have become ubiquitous for sentiment scoring. These have been derived from dictionaries such as the...

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Библиографические подробности
Главные авторы: Sanjiv R. Das, Michele Donini, Muhammad Bilal Zafar, John He, Krishnaram Kenthapadi
Формат: Artigo
Язык:Inglês
Опубликовано: KeAi Communications Co., Ltd. 2022-11-01
Серии:Journal of Finance and Data Science
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Online-ссылка:http://www.sciencedirect.com/science/article/pii/S2405918821000131
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