Sentiment analysis towards listed companies in the energy sector on the example of the WIG-Energia index on the WSE

CC BY-NC-ND Logo DOI

The study consists of an experiment performed with the use of sentiment analysis, which allows to determine whether the introduction of the sentiment indicator is useful in a model that uses machine learning mechanisms to forecast changes in the price behaviour of companies in the energy sector.

The aim of the study has been achieved by comparing the quality of the confusion matrix for the model in which the indicator resulting from the sentiment analysis was used with the model without this indicator. The study has shown that sentiment analysis is not a particularly useful tool in the analysis of stock exchange data of companies in the energy sector, which shows that sentiment analysis cannot be a decisive factor in investment decisions concerning companies in this sector.

Tytuł
Sentiment analysis towards listed companies in the energy sector on the example of the WIG-Energia index on the WSE
Twórca
Wojarnik Grzegorz ORCID 0000-0001-6946-547X
Słowa kluczowe
information society; ICT indicators; classification of feature; energy sector
Słowa kluczowe
społeczeństwo informacyjne; wskaźniki ICT; klasyfikacja cech; sektor energetyczny
Data
2022
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.1016/j.procs.2022.09.265
Źródło
Procedia Computer Science, 2022, vol. 207, pp. 2059-2067
Język
angielski
Prawa autorskie
CC BY-NC-ND CC BY-NC-ND
Dyscyplina naukowa
Dziedzina nauk społecznych; Ekonomia i finanse
Kategorie
Publikacje pracowników US
Data udostępnienia9 lis 2022, 15:20:57
Data mod.9 lis 2022, 15:20:57
DostępPubliczny
Aktywnych wyświetleń0