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Angoss – Angoss Text Analytics provides entity and theme extraction, topic categorization, sentiment analysis and document summarization capabilities via the embedded; AUTINDEX – is a commercial text mining software package based on sophisticated linguistics by IAI (Institute for Applied Information Sciences), Saarbrücken.
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.
Augur is a decentralized prediction market platform built on the Ethereum blockchain. [1] Augur is developed by Forecast Foundation, which was founded in 2014 by Jack Peterson, Joey Krug, and Jeremy Gardner. [2]
Tim Draper, a prominent venture capitalist and cryptocurrency enthusiast, has made Bitcoin price predictions since 2014. That year, Draper predicted Bitcoin to be $10,000 by the end of 2017.
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.
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 ]
Chart created using Benzinga Pro. MicroStrategy has surged 464.93% over the past year and is up nearly 300% year-to-date. A quick glance at its moving averages reveals bullish signals: the stock ...
Market sentiment, also known as investor attention, is the general prevailing attitude of investors as to anticipated price development in a market. [1] This attitude is the accumulation of a variety of fundamental and technical factors, including price history, economic reports, seasonal factors, and national and world events.
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