On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection DOI

Nora Lewis,

Charles C. Cavalcante, Zois Boukouvalas

et al.

2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 3277 - 3281

Published: Dec. 15, 2024

Language: Английский

Sentiment analysis for stock market research: A bibliometric study DOI Creative Commons
Xieling Chen, Haoran Xie, Zongxi Li

et al.

Natural Language Processing Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100125 - 100125

Published: Jan. 1, 2025

Language: Английский

Citations

1
Exploring Machine Learning for Stock Price Prediction and Decision Making DOI

Geetha T.V.,

Suman Kumar Mondal, S. Verma

et al.

Published: April 19, 2025

Intricate dynamics of the stock market makes its prediction a challenging and daunting activity. In order to create precise predictive models, researchers are employing emerging machine learning models methods. The research starts with collection history, volumes trade other related indicators. Then data is preprocessed feature engineering done, thereby producing useful input representations for models. model employed in SVR model. Grid search CV method utilized discover best possible parameters' values that assists predicting intraday based on recent past data. This respond promptly trends changes, making it optimal short-term momentum trading strategies.

Language: Английский

Citations

0
On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech Detection DOI

Nora Lewis,

Charles C. Cavalcante, Zois Boukouvalas

et al.

2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 3277 - 3281

Published: Dec. 15, 2024

Language: Английский

Citations

0