A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies
In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
Multi-class sentiment analysis of urdu text using multilingual BERT
Sentiment analysis (SA) is an important task because of its vital role in analyzing people's
opinions. However, existing research is solely based on the English language with limited …
opinions. However, existing research is solely based on the English language with limited …
Deep sentiment analysis using CNN-LSTM architecture of English and Roman Urdu text shared in social media
Sentiment analysis (SA) has been an active research subject in the domain of natural
language processing due to its important functions in interpreting people's perspectives and …
language processing due to its important functions in interpreting people's perspectives and …
[HTML][HTML] Bridging the skill gap between the acquired university curriculum and the requirements of the job market: A data-driven analysis of scientific literature
This research provides a comprehensive, first-of-its-kind, in-depth, data-driven analysis of
the discussions on" curriculum alignment" in the light of" learned skills" and" acquired skills" …
the discussions on" curriculum alignment" in the light of" learned skills" and" acquired skills" …
Deep learning-based extraction of algorithmic metadata in full-text scholarly documents
The advancements of search engines for traditional text documents have enabled the
effective retrieval of massive textual information in a resource-efficient manner. However …
effective retrieval of massive textual information in a resource-efficient manner. However …
Sequential sentence classification in research papers using cross-domain multi-task learning
A Brack, E Entrup, M Stamatakis… - International Journal on …, 2024 - Springer
The automatic semantic structuring of scientific text allows for more efficient reading of
research articles and is an important indexing step for academic search engines. Sequential …
research articles and is an important indexing step for academic search engines. Sequential …
Early detection of valuable patents using a deep learning model: Case of semiconductor industry
An essential concept in technology management is the early detection of valuable patents.
Traditional classification approaches have been utilized to identify effective patents based …
Traditional classification approaches have been utilized to identify effective patents based …
Deep sentiments in roman urdu text using recurrent convolutional neural network model
Although over 64 million people worldwide speak Urdu language and are well aware of its
Roman script, limited research and efforts have been made to carry out sentiment analysis …
Roman script, limited research and efforts have been made to carry out sentiment analysis …
Sentiment analysis for Urdu online reviews using deep learning models
Most existing studies are focused on popular languages like English, Spanish, Chinese,
Japanese, and others, however, limited attention has been paid to Urdu despite having …
Japanese, and others, however, limited attention has been paid to Urdu despite having …
Smart services in smart cities: insights from science map** analysis
Against the backdrop of the expanding debate on smart cities, the objective of this paper is
to examine to what extent and to what end the connection between smart services and smart …
to examine to what extent and to what end the connection between smart services and smart …