Deep Learning Based Sentiment Analysis for Recommender System
Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 2
Abstract
Recommender Systems are used to predict and recommend products based on user preferences. Recommender System is a program that makes use of sentiment analysis technique. Sentiment analysis is one of the popular techniques of the Natural Language Processing (NLP). To perform sentiment analysis task there exists so many approaches, among the approaches we consider the classification task by making use of deep learning models. In this paper we will discuss about the various models that are used for feature generation, which will be provided as input for the sentiment classification. In this paper we also discuss about the sentiment classification task achieved by the linear classifier such as logistic regression and non-linear classifier neural networks such as Convolutional neural network. In this paper we will also discuss about the application of deep learning based sentiment analysis by linear classifier for recommender system on cloud.
Authors and Affiliations
Pradeepthi NIMIRTHI, Parimala Venkata KRISHNA
Keywords
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