Oct 10, 2018 · The main aim of developing this approach was to use specific approach for Persian language instead of using existing English sentiment analysis ...
In this paper, we review English-based sentiment analysis approaches and discuss what adaption these approaches require to become applicable to the Persian ...
In this paper, we review English-based sentiment analysis approaches and discuss what adaption these approaches require to become applicable to the Persian ...
Adaptation of Sentiment Analysis Techniques to Persian Language. https://doi ... study of persian sentiment analysis based on different feature combinations.
Among all the methods, transformers such as BERT and RNN Neural Networks such as LSTM and Bi-LSTM have achieved higher accuracy in the sentiment analysis. In.
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In this paper, a novel sentiment analysis framework for Persian language ... In English, different techniques have been proposed to classify unstructured data.
Missing: Adaptation | Show results with:Adaptation
In this paper, we review English-based sentiment analysis approaches and discuss what adaption these approaches require to become applicable to the Persian ...
Mar 17, 2024 · In this study, we introduced and implemented a hybrid deep learning-based model for sentiment analysis, using customer review data from the Digikala Online ...
Missing: Adaptation | Show results with:Adaptation
Lexicon-based sentiment analysis (SA) aims to address the problem of extracting people's opinions from their comments on the Web using a predefined lexicon ...
Missing: Adaptation | Show results with:Adaptation
The experiments on the two Persian datasets prove that utilizing informal vectors in sentiment analysis and applying the attention model improves the prediction ...