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In turn, [10] presents a new approach to sentiment classification based on a combination of the Hidden Markov Models HMM as well as the Support Vector Machines ...
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In order to categorise people's attitudes or sentiments, this study provides a hybrid model (Support Vector Machine, Convolutional Neural Network, and Long ...
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The proposed model extracts features of different deep learning methods of word embedding, combines these features and classifies texts in terms of sentiment.
New hybrid classification method is proposed based on coupling classification methods using arcing classifier and their performances are analyzed in terms ...
A hybrid technique that combines review-related features and aspect-related features has been presented for efficiently retrieving the features. This method ...
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Our approach focuses on the analysis of feelings resulting from reviews of products using original text search techniques. These reviews can be classified as ...
A case study was performed on the movie review dataset to analyze the classification effect utilizing the traditional and proposed methods. Results ...
Abstract. Objectives: The objective of this study is to introduce an innovative hybrid approach that incorporates CNN and Bi-LSTM models to provide a solution ...
This research work proposes new hybrid method for sentiment mining problem. A new architecture based on coupling classification methods using arcing classifier ...
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A novel hybrid deep learning model is proposed that strategically combines different word embedding (Word2Vec, FastText, character-level embedding) with ...