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  2. File:Sentiment Analysis Tool.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Sentiment_Analysis...

    PDF is used for representing two-dimensional documents in a manner independent of the application software, hardware, and operating system. Each PDF file encapsulates a complete description of a fixed-layout 2D document that includes the text, fonts, images, and 2D vector graphics which compose the documents.

  3. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    Open source software tools as well as range of free and paid sentiment analysis tools deploy machine learning, statistics, and natural language processing techniques to automate sentiment analysis on large collections of texts, including web pages, online news, internet discussion groups, online reviews, web blogs, and social media. [53]

  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. Tokenomics - Wikipedia

    en.wikipedia.org/wiki/Tokenomics

    Tokenomics is a term that refers to the study and analysis of the economic aspects of a cryptocurrency or blockchain project, with a particular focus on the design and distribution of its native digital tokens. [1] [2] The term is a portmanteau of words token and economics.

  6. Blockchain analysis - Wikipedia

    en.wikipedia.org/wiki/Blockchain_analysis

    Blockchain analysis is the process of inspecting, identifying, clustering, modeling and visually representing data on a cryptographic distributed-ledger known as a blockchain. [ 1 ] [ 2 ] The goal of blockchain analysis is to discover useful information about different actors transacting in cryptocurrency.

  7. Orange (software) - Wikipedia

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

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  8. 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]

  9. Decentralized application - Wikipedia

    en.wikipedia.org/wiki/Decentralized_application

    A decentralised application (DApp, [1] dApp, [2] Dapp, or dapp) is an application that can operate autonomously, typically through the use of smart contracts, that run on a decentralized computing, blockchain or other distributed ledger system. [3]