By Vincent Mosco
Within the wake of revelations approximately nationwide protection organization actions a lot of which happen within the cloud this booklet deals either enlightenment and a severe view. Cloud computing and large facts are arguably the main major forces in details know-how this present day.
In transparent prose, To the Cloud explores the place the cloud originated, what it ability, and the way vital it's for company, executive, and voters. It describes the serious festival between cloud businesses like Amazon and Google, the unfold of the cloud to executive businesses just like the debatable NSA, and the surprising development of complete cloud towns in China. From ads to alternate exhibits, the cloud and massive info are furiously advertised to the area, whilst darkish clouds loom over environmental, privateness, and employment concerns that come up from the cloud.
Is the cloud the long-promised info application that might clear up the various global s fiscal and social difficulties? Or is it simply advertising hype?
To the Cloud presents the 1st thorough research of the aptitude and the issues of a expertise that can rather well disrupt the area.
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Extra resources for To the Cloud: Big Data in a Turbulent World
Sample text
Several times, a questioner would get a very close word and oscillate between related synonyms, for example “mad” and “angry”. In the future, we will deal with this by changing the stopping criteria from guessing the exact word to guessing a synonym that cannot be distinguished Emotion Twenty Questions: Toward a Crowd-Sourced Theory of Emotions 9 by any type of explanation. However, even though it may seem that two words are closely related, there may still be some differences. For example, one player was unsure about whether “proud” and “pride” would be considered equal (native speakers of English generally feel that “pride” has a negative connotation, whereas “proud” has a positive connotation).
There were some experimental effects with hinting behavior. In after-action reviews with the players, there was anecdotal evidence of retribution type experimental effects, where one player who gives only yes/no answers without any hints will be given less hints when it is their turn to be questioner. Furthermore, there is also mercy type experimental effects, whereby more hints are given by the answerer as the questioner approaches the 20 question limit. Since our main focus was the yes/no questions we did not attempt to quantify the hinting behavior as this did not effect the collection of yes/no question/answers for emotion words.
The questioner agent needs to select questions and process yes/no type answers, but the answerer agent would need to understand an open set of questions that can be asked of any emotion, so we consider the questioner role to be easier to automate than the answerer role. Our initial work on designing a questioner agent is described in [17,18] and [18] includes an interactive demo. For automating the answerer role, the computer would need a way to understand a wide variety of questions. We have undertaken previous research on how to answer questions about dimensional representations for emotions and similarity and subsethood judgments [12,13,19], which, according to our pilot data, make up nearly 25% of the total questions.
