Sentiment Analysis based on Appraisal Theory and Functional Local ...

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sentence 8. All of these parts are defined, with numerous examples, in Section 4.2
and in Appendix B.)
(8) “
target
She’s the
attitude
most heartless
superordinate
coquette
aspect
in the world,”
evaluator
he cried, and clinched his hands.
By analyzing existing sentiment corpora against the rubric of this expanded
local grammar of appraisal, I test the following hypotheses:
H4: Including superordinates, aspects, processes, and expressors in an appraisal annotation
scheme makes it easier to develop sentiment corpora that are annotated
consistently, preventing many of the errors and inconsistencies that occurred
frequently when existing sentiment corpora were annotated.
H5: Identifying superordinates, aspects, processes, and expressors in an appraisal
expression improves the ability of an appraisal expression extractor to identify
targets and evaluators as well.
Additionally, FLAG incorporates ideas from Martin and White’s [110] Attitude
system, recognizing that there are different types of attitudes that are realized
using different local grammar patterns.
These different attitude types are closely
related to the lexical meanings of the attitude words. FLAG recognizes three main
attitude types:
affect (which conveys emotions, like the word “hate”), judgment
(which evaluates a person’s behavior in a social context, like the words “idiot” or
“evil”), and appreciation (which evaluates the intrinsic qualities of an object, like the
word “beautiful”).
H6: Determining whether an attitude is an example of affect, appreciation, or judgment
improves accuracy at determining an attitude’s structure compared to
performing the same task without determining the attitude types.