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.
BizTech

3 Ways Retail Banks Can Use Natural Language Processing To Analyze Consumer Sentiment

Andrew Jenkins has worked as an information analyst for an intelligence agency in Washington, D.C., for over 14 years. He is the author of the 2022 book, The Devil Made Crypto. Follow him on LinkedIn.
EurekAlert!

Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost

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 ...
IEEE

Deep Sentiment Analysis Methods using Machine Learning for Extraction of Brand Value for Various Consumer Products

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, ...
BizTech

Advanced Ways Financial Firms Are Using Sentiment Analysis

Understanding what the markets will do before the competition realizes the same thing is a cornerstone of success in the financial services industry. While talented market watchers rely on their own ...
Scientific Research Publishing

Ray, P. and Chakrabarti, A. (2020) A Mixed Approach of Deep Learning Method and Rule-Based Method to Improve Aspect Level Sentiment Analysis.

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 ...
Scientific Research Publishing

Wankhade, M., Rao, A.C.S. and Kulkarni, C. (2022) A Survey on Sentiment Analysis Methods, Applications, and Challenges. Artificial Intelligence Review, 55, 5731-5780.

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 ...