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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.
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 ...
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.
This integration enables the use of Stellar’s native cryptocurrency, XLM, and the fiat-backed stablecoin USDC (USD Coin) by the company Circle. Circle is a regulated fintech and it’s USDC Cryptocurrency stable coin is a trusted, widely accepted and highly liquid digital dollar; for seamless cross-border payments and real-time settlements.
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 ]
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.
A more than 120% surge in bitcoin this year and a nearly 50% jump in ether, the second-largest cryptocurrency, have propelled the sector's market value to roughly $3.5 trillion, according to ...
Speech analysis is an effective method of identifying affective state, having an average reported accuracy of 70 to 80% in research from 2003 and 2006. [ 17 ] [ 18 ] These systems tend to outperform average human accuracy (approximately 60% [ 14 ] ) but are less accurate than systems which employ other modalities for emotion detection, such as ...