fake reviews detection using machine learning

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fake reviews detection using machine learning

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the term electronic warfare (ew) applies to military action involving the use of the electromagnetic spectrum. the goal of ew is to maximize the ability of friendly forces to access and exploit the spectrum while disrupting and denying the enemy’s ability to do the same. it also encompasses the use of technology to defend against attacks on spectral capabilities and the use of offensive directed energy weapons. examples of ew include radar jamming, communication jamming, and electronic masking, as well as countermeasures against such techniques.

as with sigint, ew can be divided into three sub-disciplines. these include:

it is in this third category of es that we see the overlap of electronic warfare and sigint because the systems and equipment used for es can simultaneously collect intelligence. while es is more focused on immediate threats in the operational environment, much of the data obtained can be used to enhance raw signals intelligence and sigint decision-making.

es can detect the source of an electromagnetic signal, the type of equipment generating that signal, and relevant data like frequency, modulation, etc. for example, es personnel can detect an unknown radar signal emanating from somewhere in the battlespace. they can analyze the signal and determine the type of radar that is being used, and compare their findings with countries known to use this type of radar, and what vehicles, ships, aircraft, etc. it is typically used with. they can then ascertain the nature of the radar source, and make intelligent predictions on what the unknown actor’s intentions are.