نشریه بین المللی مهندسی صنایع و تحقیقات تولید
دانشگاه علم و صنعت ایران
چهارشنبه 25 مهر 1403
[Archive]
جلد 31، شماره 3 - ( 7-1399 )
جلد 31 شماره 3 صفحات 360-351 |
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Desai N, Venkatramana S, Sekhar B. Automatic Visual Sentiment Analysis with Convolution Neural network. IJIEPR 2020; 31 (3) :351-360
URL: http://ijiepr.iust.ac.ir/article-1-1070-fa.html
URL: http://ijiepr.iust.ac.ir/article-1-1070-fa.html
Automatic Visual Sentiment Analysis with Convolution Neural network. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1399; 31 (3) :351-360
چکیده: (3519 مشاهده)
Today's digital world demands about automated sentiment analysis on visual and text content to significantly displaying people's feelings, opinions and emotions through text, images and videos across popular social networks. Earlier visual sentimental analysis faces many drawbacks like achieve low accuracy and more difficult to understand people opinions due to traditional techniques. Also, another major challenge is a huge number of images generated and uploaded every day across the world. This paper overcomes problems of visual sentiment analysis with the help of deep learning convolution neural network (CNN) and Affective Regions approach to achieve more meaningful sentiment reports with huge accuracy.
نوع مطالعه: پژوهشي |
موضوع مقاله:
زنجیره تامین و لجستیک
دریافت: 1399/2/14 | پذیرش: 1399/2/14 | انتشار: 1399/2/14
دریافت: 1399/2/14 | پذیرش: 1399/2/14 | انتشار: 1399/2/14
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