Opinion Mining of Gujarati Language Text Using Hybrid Approach

Opinion Mining is one of the most prominent fields of research in the domain of Natural Language Processing because of the growing electronic data in last two decades. The field has been very well explored for the English language; however, Gujarati language is not much explored for this field. This paper presents the use of a Hybrid approach with the combination of Convolutional Neural Network and Rule-based method to perform Opinion Mining of Gujarati Language text. The rules used by authors are to resolve the Opinion Mining challenges when the negation and conjunction words exist in the review.