predicting consumer sentiments from online text
DESCRIPTION
Predicting consumer sentiments from online text. Presenter: Jun-Yi Wu Authors: Xue Bai. 國立雲林科技大學 National Yunlin University of Science and Technology. 2011 DSS. Outline. Motivation Objective Methodology Experiments Conclusion Comments. Motivation. - PowerPoint PPT PresentationTRANSCRIPT
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.
Predicting consumer sentiments from online text
Presenter: Jun-Yi Wu Authors: Xue Bai
2011 DSS
國立雲林科技大學National Yunlin University of Science and Technology
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Outline
Motivation Objective Methodology Experiments Conclusion Comments
2
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Motivation In recent years, due to the sheer volume of online reviews and
news corpora available in digital form. An accurate method not only predicting consumer
sentiments but also can be used to reduce the risk.
3
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Objective
To propose a heuristic search-enhanced Markov blanket model that is able to capture the dependencies among words and provide a vocabulary that is adequate for the purpose of extracting sentiments.
4
News
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
5
Bayesian network and Markov blanket Tabu search The Markov blanket for a sentiment variable
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
6
Bayesian network and Markov blanket
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
7
Tabu search Tabu search is a meta-heuristic search method that is able to guide
traditional local search methods to escape local optima with the assistance of adaptive memory.
Tabu search starts with a feasible solution and chooses the best move according to an evaluation function, while taking steps to ensure that the method does not revisit a solution previously generated.
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Methodology
8
The Markov blanket for a sentiment variable The algorithm for learning the Markov Blanket for a sentiment variable
is called a Markov Blanket Classifier.
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Experiments
9
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Experiments
10
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Experiments
11
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Conclusion
1212
1
Intelligent Database Systems Lab
N.Y.U.S.T.
I. M.Comments
1313
Advantage This method yields predictive performance comparable and in many
cases superior to those of other state-of-the-art classification methods.
Application Sentiment analysis