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  2. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    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.

  3. Basis Technology - Wikipedia

    en.wikipedia.org/wiki/Basis_Technology

    The Basis hybrid approach mixes statistical modeling with rules, regular expressions, and gazetteers, lists of special words that can be tuned to the language and text to be analyzed. The tool is designed to work directly with varied alphabets and multiple languages, an advantage because foreign words are often transliterated in multiple ways ...

  4. List of text mining software - Wikipedia

    en.wikipedia.org/wiki/List_of_text_mining_software

    Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...

  5. 2025 crypto forecast: Bitcoin price predictions - AOL

    www.aol.com/finance/2025-crypto-forecast-bitcoin...

    What drives cryptocurrency prices Cryptocurrency prices are driven only by sentiment, with the notable exception of stablecoins , which are actually backed by hard assets held by a fiduciary.

  6. News analytics - Wikipedia

    en.wikipedia.org/wiki/News_analytics

    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.

  7. Multimodal sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Multimodal_sentiment_analysis

    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 ]

  8. XRP Ledger - Wikipedia

    en.wikipedia.org/wiki/XRP_Ledger

    The XRP Ledger operates on a consensus protocol that differs from traditional proof-of-work (PoW) and proof-of-stake (PoS) mechanisms. [8] [3] Transactions are validated by a network of independent validators who reach consensus every 3 to 5 seconds, enabling rapid transaction settlement. [8]

  9. Augur (software) - Wikipedia

    en.wikipedia.org/wiki/Augur_(software)

    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]