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Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)
March 28, 2024, 4:48 a.m. | Maryan Rizinski, Hristijan Peshov, Kostadin Mishev, Milos Jovanovik, Dimitar Trajanov
cs.CL updates on arXiv.org arxiv.org
Abstract: Lexicon-based sentiment analysis (SA) in finance leverages specialized, manually annotated lexicons created by human experts to extract sentiment from financial texts. Although lexicon-based methods are simple to implement and fast to operate on textual data, they require considerable manual annotation efforts to create, maintain, and update the lexicons. These methods are also considered inferior to the deep learning-based approaches, such as transformer models, which have become dominant in various NLP tasks due to their remarkable …
abstract analysis annotation arxiv cs.cl data experts extract finance financial human sentiment sentiment analysis simple textual transformers type
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