Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

To improve the accuracy of soybean futures price prediction, this paper constructs a
sentiment index considering investor concern (ICSI) based on news text, Baidu search …

Sentiment analysis is one domain that analyzes the feelings and emotions of the users
based on their text messages. Sentiment analysis of short messages, reviews in online …

In an era dominated by digital communication, the vast amounts of data generated from
social media and financial markets present unique opportunities and challenges for …

Explainability, which is the degree to which an interested stakeholder can understand the
key factors that led to a data-driven model's decision, has been considered an essential …

The accurate forecasting of agricultural futures prices is critical for ensuring national food
security. Therefore, this study proposes a text‐based deep learning forecasting model. This …

Stock sentiment prediction is a task to evaluate whether the investors are expecting or
gaining a positive or negative return from a stock, which has a high correlation with …

The scarcity of data poses a significant challenge in closed-domain event extraction, as is
common in complex NLP tasks. This limitation primarily arises from the intricate nature of the …

Une recrudescence des maladies infectieuses a conduit à une augmentation significative
des menaces sanitaires signalées à partir de diverses sources en ligne. Les systèmes de …

Purpose-The study investigates the effectiveness of the ConvLSTM model in the next-day
closing price prediction for stocks using a novel combination of input features. These …