Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex)
Lexicon-based sentiment analysis in finance leverages specialized, manually annotated lexicons created by human experts to extract sentiment from financial texts effectively. Although lexicon-based methods are simple to implement and fast to operate on textual data, they require considerable manual...
Main Authors: | Maryan Rizinski, Hristijan Peshov, Kostadin Mishev, Milos Jovanovik, Dimitar Trajanov |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10380556/ |
Similar Items
-
Evaluation of Sentiment Analysis in Finance: From Lexicons to Transformers
by: Kostadin Mishev, et al.
Published: (2020-01-01) -
Ethically Responsible Machine Learning in Fintech
by: Maryan Rizinski, et al.
Published: (2022-01-01) -
GENERATING A MALAY SENTIMENT LEXICON BASED ON WORDNET
by: Nur Sharmini Alexander, et al.
Published: (2017-06-01) -
Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis
by: Xianghua Fu, et al.
Published: (2018-01-01) -
AUTOMATICALLY GENERATING A SENTIMENT LEXICON FOR THE MALAY LANGUAGE
by: Mohammad Darwich, et al.
Published: (2016-06-01)