In this paper, we propose a recurrent neural network model in classifying positive and negative reviews using gated recurrent unit and attention mechanism.
Document level polarity classification with attention gated recurrent unit
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In this paper, we propose a recurrent neural network model in classifying positive and negative reviews using gated recurrent unit and attention mechanism.
In this paper, we present a study applying reject option to build a two-stage sentiment polarity classification system. We construct a Naive Bayes ...
Bibliographic details on Document level polarity classification with attention gated recurrent unit.
Nov 25, 2020 · We propose an effective neural network model for document-level sentiment classification. The proposed model automatically determines the ...
Sep 27, 2022 · In this paper, we present an attention-based deep learning technique which jointly learns on document and aspect-level sentiment data and which also transfers ...
A neural network model is introduced to learn vector-based document representation in a unified, bottom-up fashion and dramatically outperforms standard ...
In theory, sentiment analysis is divided into three levels, namely document level, sentence level, and aspect/feature level, sometimes also called target. At ...
Jan 25, 2022 · Aspect-level sentiment classification (ASC) is an interesting and challenging research task to identify the sentiment polarities of aspect ...
Oct 28, 2021 · In this paper, a recurrent attention LSTM neural network is presented to iteratively locate an attention region covering the key sentiment words.