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Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 2 ]
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
The application of sophisticated linguistic analysis to news and social media has grown from an area of research to mature product solutions since 2007. News analytics and news sentiment calculations are now routinely used by both buy-side and sell-side in alpha generation, trading execution, risk management, and market surveillance and compliance.
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A section on the ethics of sentiment analysis would be more than welcome. I think this needs a reference "The shorter the string of text, the harder it becomes." because I would have thought that the shorter the text the EASIER it would be to determine sentiment, due to the sentiment being more condensed. Lanksalot
It defines virtue to be whatever mental action or quality gives to a spectator the pleasing sentiment of approbation; and vice the contrary. ( EPM , Appendix 1, ¶10) Hume puts forward sentimentalism as a foundation for ethics primarily as a meta-ethical theory about the epistemology of morality.
Scammers are using AI-powered voice-cloning tools to prey on people. But experts say there's a simple way to protect you and your family.