چکیده مقاله
With the advent of the Web today, users' opinions can be incorporated into a variety of applications Automated methods have been developed to derive users' general sense from these textual comments, often known as sentiment analysis, and aim to determine the polarity of a text relative to a subject One of the challenges is the inability to use one domain of data to analysis sentiment in another domain and the lack of sufficient labelled data in a particular domain To address these challenges, multi domain sentiment analysis systems have been developed This paper propose Bi GRU Capsule ensemble approaches for multi domain sentiment classification to address the mentioned issues Using a weighted score of Term Frequency and Inverse Document Frequency degree and the initial polarity of the sample test data on each domain, a new aggregated score of final polarity is obtained The DRANZIERA protocol is used for evaluation of the proposed model The outcomes demonstrate the effectiveness of the proposed approach and also set a plausible starting point for future work
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,Weighted Bi-directional GRU Capsule Ensemble Approach for Multi-Domain Sentiment Analysis,Fourth International Conference on Soft Computing
ارائهشده در
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