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Real-time violent action recognition using key frames extraction and deep learning
(Tech Science Press, 2021)
Violence recognition is crucial because of its applications in activities
related to security and law enforcement. Existing semi-automated systems have
issues such as tedious manual surveillances, which causes human ...
DS-Index: Ranking Authors Distinctively in an Academic Network
(Institute of Electrical and Electronics Engineers Inc., 2017)
The impact and productivity of researchers are assessed using bibliometric parameters, such as the number of publications and citation analysis. A number of indices exist that use these parameters, but almost all of them ...
Extending UML use case diagrams to represent non-interactive functional requirements
(Wroclaw University of Science and Technology, 2020)
Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps ...
Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets
(Korean Society for Internet Information, 2018)
Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake ...
Users' Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures
(Hindawi Limited, 2022)
The social media has made the world a global world and we, in addition to, as part of physical society, are now part of the virtual society as well. There has been the generation of a large amount of information over the ...
Association Rule Analysis-Based Identification of Influential Users in the Social Media
(Tech Science Press, 2022)
The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. ...
Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification
(Institute of Electrical and Electronics Engineers Inc., 2023)
Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ...
Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position
(Tech Science Press, 2023)
Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ...