The phrase "social extraction" is grammatically correct and can be used in written English.
It refers to the process of extracting or removing something (such as resources, information, or people) from a particular social environment or group. Here is an example of how to use it: "The company's success can be attributed to its efficient social extraction strategy, which involves identifying and utilizing key resources from various online communities."
We propose a social network extraction system called POLYPHONET, which employs several advanced techniques to extract relations of persons, to detect groups of persons, and to obtain keywords for a person.
The social relation extraction process was too complex in nature and its applicability was limited.
In another approach, social relation extraction system using dependency-kernel-based support vector machine was proposed [47], and classified input sentences on the basis of describing social relations between two people.
Analyzing twitter for social tv: Sentiment extraction for sports.
Piercing and tattoos have now overcome most prejudices and the rather tawdry image that once accompanied them; in fact, nowadays the practice has become widespread, the social and cultural extraction not relevant [ 26, 34].
Thus, the comparison of the main systems for ADR extraction from social media has not been possible due to the absence of a gold-standard corpus of social media texts.
She is also a fellow at the Center for technology and Society at Fundacao Getúlio Vargas (CTS-FGV), researching data extraction for social impact and public policies, besides smart cities and discrimination.
The Guatemalan case suggests a relatively high degree of compatibility due to low timber harvesting intensities, coupled with temporal, spatial, and social segregation of xate extraction in a well-defined land tenure system.
Due to the limitation of traffic information extraction from social media data raised in the existing work, this paper aims to develop an approach which allows us to explore the potential influence of human activities on daily traffic congestions through linking human activities derived from geotagged tweets to the daily traffic conditions.
These issues are often mentioned in the academic literature and in SR fund prospectuses where they are used as negative screening criteria (e.g., child labor (social), animal experiments (moral), extraction of raw materials (ecological)).
