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Personality-driven experience storage and retrieval for sentiment classification
The existing methods for sentiment classification normally ignore that the past experiences retrieved by users under particular situations would...
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Neural Network Sentiment Classification of Russian Sentences into Four Classes
AbstractThis work is devoted to the sentiment classification of Russian sentences into four classes: positive, negative, mixed, and neutral. Unlike...
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CBMAFM: CNN-BiLSTM Multi-Attention Fusion Mechanism for sentiment classification
Sentiment classification, a crucial task in natural language processing, plays a significant role in deciphering sentiment expressions within textual...
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Aspect-level sentiment classification with fused local and global context
Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more...
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MuCon: Multi-channel convolution for targeted sentiment classification
Targeted Sentiment Analysis goes beyond general sentiment classification tasks by aiming to identify the sentiment of a specific target aspect within...
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Hybrid optimization-based deep learning classifier for sentiment classification using review data
The study of opinions conveyed in a text format is examined using sentiment analysis. Analyzing the sentiment plays a fundamental part in the...
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Multilingual, monolingual and mono-dialectal transfer learning for Moroccan Arabic sentiment classification
Transfer learning has recently proven to be very powerful in diverse natural language processing (NLP) tasks such as Machine translation, Sentiment...
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Dual BiGRU-CNN-based sentiment classification method combining global and local attention
Traditional sentiment classification methods often ignore the influence of psychological features on classification results. Moreover, most sentiment...
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An interactive multi-head self-attention capsule network model for aspect sentiment classification
The endpoint of aspect-level sentiment classification, a finely ground categorization task in sentiment analysis, is to gauge the polarity for...
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Sentiment analysis classification system using hybrid BERT models
Because of the rapid growth of mobile technology, social media has become an essential platform for people to express their views and opinions....
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Leveraging distant supervision and deep learning for twitter sentiment and emotion classification
Nowadays, various applications across industries, healthcare, and security have begun adopting automatic sentiment analysis and emotion detection in...
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Sentiment analysis of linguistic cues to assist medical image classification
Image classification is a challenging problem and often suffers from the bottleneck of visual features. With the ever-growing availability of...
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Knowledge-enhanced graph convolutional networks for Arabic aspect sentiment classification
Aspect sentiment classification (ASC) is a sub-task of aspect-based sentiment analysis (ABSA) that aims at identifying the sentiment polarity toward...
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Aspect-level sentiment classification with aspect-opinion sentence pattern connection graph convolutional networks
Attempting to identify and determine the sentiment polarity of one or more aspects (i.e., aspect words) in a sentence, Aspect-Level Sentiment...
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Filter channel network based on contextual position weight for aspect-based sentiment classification
In recent years, sentiment analysis in the field of natural language processing has garnered increasing attention from researchers. Aspect-level...
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XLNet-CNN-GRU dual-channel aspect-level review text sentiment classification method
Aiming at the problem that the feature information of review text is not fully captured and the aspect information extraction ability is poor in the...
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Modeling different effects of user and product attributes on review sentiment classification
As a fundamental task, review sentiment classification aims to predict a user’s overall sentiment in a review about a product. Recent studies have...
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Part-of-speech- and syntactic-aware graph convolutional network for aspect-level sentiment classification
Aspect-level sentiment classification is a task within the realm of fine-grained sentiment analysis that focuses on identifying the sentiment...
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Corpus Creation in Telugu: Sentiment Classification Using Ensemble Approaches
Social media sentiment analysis focuses on consumer posts in online communities. It helps firms track brand sentiment to determine whether customers...
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Sentiment classification with modified RoBERTa and recurrent neural networks
The unprecedented growth in the use of social media platforms, where opinions and decisions are made and updated within seconds. Hence, Twitter is...
