An automated materials and processes identification tool for material informatics using deep learning approach
This article reports a tool that enables Materials Informatics, termed as MatRec, via a deep
learning approach. The tool captures data, makes appropriate domain suggestions, extracts …
learning approach. The tool captures data, makes appropriate domain suggestions, extracts …
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word …
A textual data processing task that involves the automatic extraction of relevant and salient
keyphrases from a document that expresses all the important concepts of the document is …
keyphrases from a document that expresses all the important concepts of the document is …
Cluster-based knowledge graph and entity-relation representation on tourism economical sentiments
The tourism industry has experienced fast and sustainable growth over the years in the
economic sector. The data available online on the ever-growing tourism sector must be …
economic sector. The data available online on the ever-growing tourism sector must be …
Evaluation and ranking of the solutions to mitigate electric vehicle adoption risk
Electric vehicles (EVs) are crucial for advancing sustainable development goals (SDGs) by
offering environmental benefits and cost-effective transportation. However, the existing …
offering environmental benefits and cost-effective transportation. However, the existing …
Medical named entity recognition (medner): A deep learning model for recognizing medical entities (drug, disease) from scientific texts
Medical Named Entity Recognition (MedNER) is an indispensable task in biomedical text
mining. NER aims to recognize and categorize named entities in scientific literature, such as …
mining. NER aims to recognize and categorize named entities in scientific literature, such as …
[HTML][HTML] Investigating the Electric Vehicle Adoption Initiatives for Achieving Sustainable Development Goals
The present study aims to prioritize the electric vehicle adoption initiatives (EVAIs) for
achieving the sustainable development goals (SDGs), considering India's EV sector as a …
achieving the sustainable development goals (SDGs), considering India's EV sector as a …
Unveiling readability challenges: An extensive analysis of consent document accessibility in clinical trials
Background: Clinical research trials rely on informed consent forms (ICFs) to explain all
aspects of the study to potential participants. Despite efforts to ensure the readability of ICFs …
aspects of the study to potential participants. Despite efforts to ensure the readability of ICFs …
A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance
Teacher performance evaluation is an essential task in the field of education. In recent
years, aspect-based sentiment analysis (ABSA) has emerged as a promising technique for …
years, aspect-based sentiment analysis (ABSA) has emerged as a promising technique for …
Efficient deep learning-based sentence boundary detection in legal text
A key component of the Natural Language Processing (NLP) pipeline is Sentence Boundary
Detection (SBD). Erroneous SBD could affect other processing steps and reduce …
Detection (SBD). Erroneous SBD could affect other processing steps and reduce …
Material named entity recognition (mner) for knowledge-driven materials using deep learning approach
The scientific literature contains an abundance of cutting-edge knowledge in the field of
materials science, as well as useful data (eg, numerical values from experimental results …
materials science, as well as useful data (eg, numerical values from experimental results …