Sentiment Analysis with Multilayer Perceptron using Emoticon Space Model
| Author(s) | : | Seema Chithore, Mrs. D. A. Phalke |
| Institution | : | Department of Computer Engineering, D.Y.Patil College of Engineering Akurdi, Pune |
| Published In | : | Vol. 4, Issue 7 — July 2017 |
| Page No. | : | 410-419 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Sentiment analysis detects that text segment contains emotional or opinion content and determines emotionalclass of it so as to take into consideration. Now a days sentiment analysis is important to know people reviews aboutparticular product or service as, from it people come to know the profit and loss in any occupations. Emoticons playimportant role in expressing the emotions. Emoticons promptly indicate emotion as compare to the text. Emoticon spacemodel avoid overhead of manually assigning label to several known emoticons. ESM projects the microblog post into spaceand determine the co-ordinates, required to classify microblog post effectively. MLP have remarkable ability to derivemeaning from complicated or imprecise data. MLP fetch out the patterns and identify data that are too complex and detectemotions out of it.
Seema Chithore, Mrs. D. A. Phalke, “Sentiment Analysis with Multilayer Perceptron using Emoticon Space Model”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 7, pp. 410-419, July 2017.
