This is typically achieved through a manual tagging of category labels on data objects, by a domain expert (or through the consensus of multiple experts).
Using literature-based lists reduced the effort required for the second step, i.e., the manual tagging of nouns not matched during the first step.
However, the manual tagging of the training corpus is costly and a non-trivial task, but maintaining the ML-based systems is cheaper than employing rule-based systems.
Much debate surrounds the most appropriate method of analysing qualitative data, with approaches ranging from manual tagging through to the use of specialist qualitative analysis software packages.
(ii) To compare auto-tagging accuracy with manual-tagging accuracy.
This is of course possible for manual tagging or markup, but it is not clear how such a distinction could be implemented computationally in the context of NER.
Theoretically, that could be expanded to cover a much larger swatch with further work, and then be applied to Facebook's social network itself, which would be very useful if Facebook wanted to automate the process of identifying all your contacts, and performing analytical magic like determining who you're photographed most frequently with, without the use of manual tagging.
Even though the system is currently implemented as a manual tagging system, suggestions are made regarding the creation of an algorithm to automate annotation, as is currently the case with PoS tagging.
Wieland said the technology could read a manual tag, but that presents a different set of problems because of how people use Facebook.
The suggested tags from auto-tagging are compared with the manual-tags.
Comparing labor-intensive manual TAG calculation methods, latest automated gradient software package can reduce computation time with high accuracy and reproducibility [ 99].
