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Enhancing LSTM and Fusing Articles of Law for Legal Text Summarization
The growing number of public legal documents has led to an increased demand for automatic summarization. Considering the well-organized structure of...
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Matching Job Circular with Resume Using Different Natural Language Processing Based Algorithms
When looking for a job, the job seeker registers in various job portals to get notifications or updates on different types of job circulars....
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AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19
COVID-19 is a novel virus that presents challenges due to a lack of consistent and in-depth research. The news of the COVID-19 spreads across the...
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Text emotion detection in social networks using a novel ensemble classifier based on Parzen Tree Estimator (TPE)
The texts often express the emotions of the writers or cause emotions in the readers. In recent years, the development of the social networks has...
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Real-Time Detection of TOR Attacks from the Dark Web
This paper discusses a case study project in cybersecurity on the Dark Web that uses quantitative data science research methods and techniques....
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Data Mining Techniques to Categorize Single Paragraph-Formed Self-narrated Stories
In this age of natural language processing, most of the sentiment analysis tasks are done by polarization, for example, 0 for negative or 1 for...
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Analysing the Threat Landscape Inside the Dark Web
The Dark Web is an encrypted subset of the deep web, whose content cannot be indexed by search engines. Dark Web pages can be accessed from private...
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An Automatic Classification of Genetic Mutations by Exploring Different Classifiers
The proposed work solely focuses on transforming the manual task of pathologists in classifying a test mutation to a task automatically done by a...
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A quantum-inspired sentiment representation model for twitter sentiment analysis
Sentiment analysis aims to capture the diverse sentiment information expressed by authors in given natural language texts, and it has been a core...
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Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet
RNA-binding proteins play crucial roles in the regulation of gene expression, and understanding the interactions between RNAs and RBPs in distinct...
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Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation
Nowadays, a series of pioneering studies provide the evidence that quantum probability theory can be applied in information retrieval as a...
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Package and Classify Wireless Product Features to Their Sales Items and Categories Automatically
Aiming at automated decision making, this paper defines and analyzes two machine learning use cases for the product process in wireless...