Deep Learning Networks For Visual Sentiment Analysis: CaffeNet and TensorFlow

Authors(3) :-Shafi S. Shaikh, Pooja M. Tayade, Dr. S. N. Deshmukh

Predicting emotion, opinion, sentiment from the comments, tweets, blogs, or bunch of words written by user has importance in Machine Learning. In Natural Language Processing emotion of particular user or person is extracted from the text, sentence, and document which all being written by user. NLP uses written text word, n-grams, combination of words as features and tries to find out relation that may exist among them. But as technology is evolving day by day it is very easy to capture or click picture, selfie through cellphone, smartphone, tablets, phablets, camera and all digital devices. These pictures of self or group are uploading on social media at every second with a suitable caption. So it’s becoming very easy to express through pictures, videos, images than to write thousand words. So to analyses sentiment of pictures on social media the NLP is way lack behind. It needs to be deal in objects rather than plain text. So it’s been need to process image and extracts sentiment from these pictures. So his paper will deal with the image and recognizing face as object and try to find emotion or sentiment of that picture.

Authors and Affiliations

Shafi S. Shaikh
Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
Pooja M. Tayade
Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
Dr. S. N. Deshmukh
Professor, Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India

NLP, VSA, Neural Network, Bottlenecks, TensorFlow, CaffeNet

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 691-697
Manuscript Number : CSEIT1725157
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shafi S. Shaikh, Pooja M. Tayade, Dr. S. N. Deshmukh, "Deep Learning Networks For Visual Sentiment Analysis: CaffeNet and TensorFlow", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.691-697, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725157

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