Abstract:
With the rapid growth the rich opinionated
information on various features of product, people are
more interested in opinion questions that can
immediately reflect others’ opinions. Opinion question
answering is an important research area in opinion
mining and Natural Language Processing. Question
analysis and answer generating are also the important
keys for this system. A new approach, pattern
knowledge in linguistic with the POS tagging are
developed for feature based sentiment questions
analysis on the products. This paper also introduces a
Wordnet based methodology to retrieve the review
sentences from the customer reviews. Finally, the
system aggregates the quality review sentences by
using polarity grouping and a simple ranking approach
to get the complete set of answer for sentiment
questions
