Paper Title :Designing A Persian Opinion Mining System With Using Memetic-Neural Network Algorithm
Author :Mojtaba Karimi
Article Citation :Mojtaba Karimi ,
(2024 ) " Designing A Persian Opinion Mining System With Using Memetic-Neural Network Algorithm " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 39-44,
Volume-12,Issue-2
Abstract : Market research is a central and essential part of current businesses. Accurately assessing consumer demand and
preferences is critical to the success of new products and re-introductions of existing products and promotional strategies.
Since most of our decisions originate from our subconscious, traditional methods used in consumer research only sometimes
reveal the best way to identify ideals and desires. Bridging the gap between consumers' subconscious and their behavior is
one of the significant challenges facing marketers today. Neuromarketing provides the opportunity to overcome these
shortcomings.
In this article, we intend to provide a brief review of the opinion analysis or sentiment analysis and the work done in this
regard. In the following, we will first discuss the methods used in the analysis of project sentiments and then the tasks related
to sentiment analysis.
Keyword - Persian opinion mining system،memetic،neural network algorithm
Type : Research paper
Published : Volume-12,Issue-2
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-20540
View Here
Copyright: © Institute of Research and Journals
|
|
| |
|
PDF |
| |
Viewed - 4 |
| |
Published on 2024-05-20 |
|