Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...
This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
Finance Strategists on MSN
What to Know About the Methods and Applications of Financial Forecasting
Explore financial forecasting's importance in strategic decision-making, its methods, modern techniques, applications, and inherent challenges.
Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...
Abstract: This research produces an extensive multilingual data mining sentiment analysis model. Utilizing the material obtained, such as consumer reviews as well as on social networking sites, ...
ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...
Abstract: Sentiment analysis is a process of analyzing, processing, concluding, and inferencing subjective texts with the sentiment. Companies use sentiment analysis for understanding public opinion, ...
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