We discuss different levels of processing yielding bag-of-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse analysis, translation into a SQL-like language and logical representations.
All contents are tagged: tags allow classification or filtering of entities by keyword, making them easy to find the main content filters are currently 'audience' and 'topic'topic
The taxonomic composition of samples are based on the V6-tag classifications provided by the VAMPS database and were visualized using iTOL [54].
In this paper, we provide a full solution to facial image tagging and classification in a cloud environment using Hadoop and KNN.
As said, we also double-checked each test result (a total of 420,375 responses) to confirm the failure mode and to build our tag-based classification system.
Using a large number of sensors, it is possible to create a smart healthcare infrastructure, where semantic tagging and classification of data is performed in the Fog layer, providing the refined data to a Cloud system for further processing [55].
The tagging process includes classification and tag selection process.
The auto-tagging consists of classification process and tag selection process by which the former is a step for filtering the articles into relevant domains.
