Search Results - "Rana, Muhammad Rizwan Rashid"
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Enhancing healthcare services recommendation through sentiment analysis
Published in Acta Universitatis Sapientiae. Informatica (01-12-2023)“…As technology advances, most people use social media sites like Twitter, Facebook, and Flickr to share information and communicate with others. The volume of…”
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Sentiment Analysis of Product Reviews Using Transformer Enhanced 1D-CNN and BiLSTM
Published in Cybernetics and information technologies : CIT (01-09-2024)“…The rapid growth of Internet-enabled applications, such as social media platforms, e-commerce sites, and blogs, has led to a surge in user-generated content…”
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RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids
Published in PeerJ. Computer science (26-02-2024)“…Electricity theft presents a substantial threat to distributed power networks, leading to non-technical losses (NTLs) that can significantly disrupt grid…”
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Enhancing energy balance in wireless sensor networks through optimized minimum spanning tree
Published in PeerJ. Computer science (26-09-2024)“…Wireless sensor networks (WSNs) are important for applications like environmental monitoring and industrial automation. However, the limited energy resources…”
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A survey on sentiment classification algorithms, challenges and applications
Published in Acta Universitatis Sapientiae. Informatica (01-08-2018)“…Sentiment classification is the process of exploring sentiments, emotions, ideas and thoughts in the sentences which are expressed by the people. Sentiment…”
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Product’s behaviour recommendations using free text: an aspect based sentiment analysis approach
Published in Cluster computing (01-06-2020)“…The assurance of astounding requirements and system specifications requires a tremendous exertion and requires semantically incorporated prerequisites…”
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Aspect based Construction of Software-Specific Words Similarity Database
Published in Baltic Journal of Modern Computing (2018)“…There exist distinctive words that are used to express same semantics and as a result of this it has become hard to quantify the exact matching of words. To…”
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