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A mean opinion score prediction model for VoIP calls offloading handover from LTE to WiFi
With the surge in mobile data traffic, leveraging Wi-Fi has become pivotal to alleviate the strain on LTE networks. An essential challenge lies in...
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An unsupervised opinion summarization model fused joint attention and dictionary learning
Unsupervised opinion summarization is the technique of automatically generates summaries without gold reference, and the summaries that reflects...
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A hybrid approach in opinion leaders selection using African vultures optimization and hunger games search algorithms
Depending on the actions and reactions in social networks, the opinions of users may have an impact on each other. Nodes who can impact others’...
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Self-supervised opinion summarization with multi-modal knowledge graph
Multi-modal opinion summarization aims at automatically generating summaries of products or businesses from multi-modal reviews containing text,...
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Information extraction with two-layered ODNN and semantic analysis for opinion mining
User textual reviews have become a significant data source for enhancing the efficacy of recommendation systems as e-commerce website use has...
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Opinion convergence-based sentiment prediction of image advertisement
In this study, a novel approach was proposed for the sentiment prediction of image advertisements. Unlike general multilabel problems with correct...
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Deceptive opinion spam detection using bidirectional long short-term memory with capsule neural network
Product reviews are becoming a more popular tool for businesses and individuals when making judgements about purchases. Spammers create synthesized...
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Opinion mining from amazon reviews using dual interactive wasserstein namib beetle generative adversarial network
Sentimental analysis, is the study of sentiments which resolves the judgement of customer’s opinions emotions, sentiments and evaluations in terms of...
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A Hybrid Bio-inspired Fuzzy Feature Selection Approach for Opinion Mining of Learner Comments
With more and more teaching learning activities being shifted to online mode, the education system has seen a drastic paradigm shift in the recent...
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A Novel Deep Learning Language Model with Hybrid-GFX Embedding and Hyperband Search for Opinion Analysis
Policies, legislation, surveillance, monitoring, direction, and enforcement, are heavily influenced by public opinion or emotion. Due to the increase...
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Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets
The recent boom in crowdsourcing has opened up a new avenue for utilizing human intelligence in the realm of data analysis. This innovative approach...
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Machine learning-based opinion extraction approach from movie reviews for sentiment analysis
The field of sentiment mining, also known as sentiment analysis and sentiment extraction, has shown a surge with diverse applications. Various...
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Public opinion monitoring through collective semantic analysis of tweets
The high popularity of Twitter renders it an excellent tool for political research, while opinion mining through semantic analysis of individual...
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Societal Opinion Mining Using Machine Intelligence
The rapid growth in the chunk of social media messages has generated the dire need to architecture more reliable and robust techniques to mine the...
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TrollsWithOpinion: A taxonomy and dataset for predicting domain-specific opinion manipulation in troll memes
Memes have become a de-facto media device in online communication. Unfortunately, memes are also used for trolling, which intends to demean, harass,...
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Deceptive opinion spam detection approaches: a literature survey
Nowadays, a large number of customers purchase products and services online. Customers can write their opinions in reviews to express the value and...
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Sentiment Analysis and Opinion Mining
With the rapid growth of social media, sentiment analysis, also called opinion mining, has become one of most active research areas in natural...
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Deep Non-linear and Unbiased Deep Decisive Pooling Learning–Based Opinion Mining of Customer Review
AbstractNowadays, opinion mining is becoming a trending research topic. The existing opinion mining detection schemes were used to determine the...
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OpExHAN: opinion extraction using hierarchical attention network from unstructured reviews
In recent decades, sellers and merchants have asked their customers to share their opinion on the products at online marketplace. Analysis of the...
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Scholar Influence Maximization via Opinion Leader and Graph Embedding Regression in Social Networks
The significance of influential nodes in information diffusion within scholar social networks has attracted increasing attention in the field of...