چکیده مقاله
Sentiment analysis is a computational analysis of ideas, feelings and opinions, and uses natural language processing techniques, computational techniques and text analyses to extract polarity from non structured documents or textual comments the purpose of the multi domain SA is that the classifier training is based on a set of tagged data in a way that reduces the need for large amounts of data on specific domains and to address the challenges of data scarcity in them with the help of existing data on other domains The purpose of this paper is to present a new method for analyzing the multi domain SA using deep learning approaches Bi GRUCapsule approach uses the combination of two networks Bi directional GRU and CapsuleNet to solve the multi domain SA problem that Bi GRU has the role of extracting features for CapsuleNet the proposed approach was evaluated using the Dranziera protocol and has received acceptable accuracy compared to the existing approaches
کلیدواژهها
نویسندگان
Vahid Mottaghi
Department of Computer Engineering, Technical and Vocational University, TVU , Tehran, Iran
Hamed AfsharFarnia
Department of Computer Engineering, Technical and Vocational University, TVU , Tehran, Iran
شیوه ارجاع
Mottaghi, Vahid and AfsharFarnia, Hamed,1400,Provide a Combined Approach the Capsule Net and BI-GRU to Multi-Domain Sentiment Analysis,Fourth International Conference on Soft Computing
ارائهشده در
مجموعه مقالات چهارمین کنفرانس بین المللی محاسبات نرم8 دی 1400