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Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms
(Institute of Electrical and Electronics Engineers Inc., 2020)
In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...
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 ...
Meta-Heuristics for Solving the Software Component Allocation Problem
(Institute of Electrical and Electronics Engineers Inc., 2020)
The software component allocation problem is concerned with mapping a set of software
components to the computational units available in a heterogeneous computing system while maximizing a certain objective function. This ...
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 ...
Test case prioritization for model transformations
(King Saud bin Abdulaziz University, 2021)
The application of model transformations is a critical component in Model-Driven Engineering (MDE). To ensure the correctness of the generated models, these model transformations need to be extensively tested. However, ...
A framework for the regression testing of model-to-model transformations
(Wroclaw University of Science and Technology, 2021)
Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ...
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, ...