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On the more questionable side, there is using social media data for intelligence gathering and surveillance".
The action is the F.T.C.'s first case addressing the sale of Internet and social media data for use in employment screening.
The conditions are then applied to three hypothetical cases involving usage of social media data for epidemiological purposes.
To the best of our knowledge, our work is the first to make use of social media data for quantitative historical research.
Most interestingly, these relationships reflect historical relations that are found in the real world, indicating that there is value in social media data for historical research.
In this paper, we propose a classification-based method to automatically select social media data for constructing a spoken-style language model in LVCSR.
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Quality rules provide means for the organization of the company to manage quality of social media data sets for decision making purposes.
The goal of this work is to retrieve spoken-style text from social media data, Twitter, for building an appropriate LM in spoken-style LVCSR.
An example: digital epidemiology with social media section demonstrates how these these conditions can be applied in practice by analysing three sample cases of social media data used for digital epidemiology.
Pneumonia data were available for all cohorts; otitis media data were available for all except GINIplus and MAAS; and croup data were available for all except GASPII, the four INMA cohorts, and PIAMA.
The purpose of quality policies is to enable the organisation to define contexts for different situations, where social media data is utilised for decision making.
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