Correction: Detecting Bitcoin Sentiment: Leveraging Language Model Applications in Sentiment Analysis for Bitcoin Price Prediction (Neural Processing Letters, (2025), 57, 5, (77), 10.1007/s11063-025-11787-1)

Hae Sun Jung, Haein Lee, Jang Hyun Kim

Research output: Contribution to journalComment/debate

Abstract

In this article, the wrong figures appeared in Fig. 10. The incorrect and corrected versions of Figure 10 are provided below: Incorrect Version of figure 10: Period 1: November 7, 2022–November 13, 2022 (Average Volatility: 0.0654) Period 2: March 20, 2023–March 26, 2023 (Average Volatility: 0.0543) Period 3: June 5, 2023–June 11, 2023 (Average Volatility: 0.0482) Period 4: August 28, 2023–September 3, 2023 (Average Volatility: 0.0467) Prediction on top four weekly volatility periods Correct Version of figure 10: Period 1: November 4, 2022–November 10, 2022 (Average Volatility: 0.0654) Period 2: June 10, 2022–June 16, 2022 (Average Volatility: 0.0543) Period 3: March 15, 2024–March 21, 2023 (Average Volatility: 0.0482) Period 4: September 9, 2022–September 15, 2022 (Average Volatility: 0.0467) Prediction on top four weekly volatility periods The original article has been corrected.

Original languageEnglish
Article number87
JournalNeural Processing Letters
Volume57
Issue number6
DOIs
StatePublished - Dec 2025

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