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Noisy text analytics is a process of information extraction whose goal is to automatically extract structured or semistructured information from noisy unstructured text data. While Text analytics is a growing and mature field that has great value because of the huge amounts of data being produced, processing of noisy text is gaining in ...
Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood.
The term text analytics also describes that application of text analytics to respond to business problems, whether independently or in conjunction with query and analysis of fielded, numerical data. It is a truism that 80% of business-relevant information originates in unstructured form, primarily text. [8]
Opinion: If we make texting safer, we will be addressing the biggest security vulnerability in modern technology.
Wired, The New York Times, and The Observer reported that the data-set had included information on 50 million Facebook users. [35] [36] While Cambridge Analytica claimed it had only collected 30 million Facebook user profiles, [37] Facebook later confirmed that it actually had data on potentially over 87 million users, [38] with 70.6 million of those people from the United States. [39]
This page was last edited on 4 July 2012, at 11:32 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply ...
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The dangers include possible hate crimes, retaliation against whistle-blowers, executions of rebels, religious persecution, and revenge against victims or witnesses of crimes. [94] Using a pseudonym is different from anonymity, and a pseudonym used consistently denotes an "authentic personality". [95]