Abstract:
Recently, a three-way decision concept is studied to
handle the uncertainty and incompleteness in the given attribute
set based on acceptance, rejection, and uncertain regions. A
three-way decision is a vital method in solving the problem
of uncertainty in opinion mining models.There are models
developed to solve the problem of uncertainty under three-way
decision theory. However, with the classification performance
of existing models, we further investigate the formulation of
three-way regions using fuzzy concepts and Long Short Term
Memory (LSTM). To demonstrate the effectiveness of the method,
experiments were conducted using a movie review and an ebook
review datasets. The experimental results show that the proposed
three-way framework is effective for dealing with uncertainties
in opinions.
