A brief survey of text mining: Classification, clustering and extraction techniques
The amount of text that is generated every day is increasing dramatically. This tremendous
volume of mostly unstructured text cannot be simply processed and perceived by computers …
volume of mostly unstructured text cannot be simply processed and perceived by computers …
Opinion mining in online social media: a survey
C Messaoudi, Z Guessoum… - Social network analysis …, 2022 - Springer
With the emergence of social networks, opinion detection has become an active research
area with different applications and several opinionated resources such as product reviews …
area with different applications and several opinionated resources such as product reviews …
Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification
Text classification is one of the challenging computational tasks in machine learning
community due to the increased amounts of natural language text documents available in …
community due to the increased amounts of natural language text documents available in …
[PDF][PDF] Fake reviews detection using supervised machine learning
With the continuous evolve of E-commerce systems, online reviews are mainly considered
as a crucial factor for building and maintaining a good reputation. Moreover, they have an …
as a crucial factor for building and maintaining a good reputation. Moreover, they have an …
On stopwords, filtering and data sparsity for sentiment analysis of twitter
Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations,
irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to …
irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to …
Prompt engineering for zero‐shot and few‐shot defect detection and classification using a visual‐language pretrained model
Zero‐shot learning, applied with vision‐language pretrained (VLP) models, is expected to
be an alternative to existing deep learning models for defect detection, under insufficient …
be an alternative to existing deep learning models for defect detection, under insufficient …
[HTML][HTML] Exploring the challenges of the COVID-19 vaccine supply chain using social media analytics: A global perspective
E Cano-Marin, D Ribeiro-Soriano, A Mardani… - Sustainable Technology …, 2023 - Elsevier
Abstract The Coronavirus (COVID-19) pandemic has highlighted the importance of effective
vaccine supply chain management (SCM). As the world raced to curb the spread of the virus …
vaccine supply chain management (SCM). As the world raced to curb the spread of the virus …
[HTML][HTML] Just-in-time software vulnerability detection: Are we there yet?
Background: Software vulnerabilities are weaknesses in source code that might be exploited
to cause harm or loss. Previous work has proposed a number of automated machine …
to cause harm or loss. Previous work has proposed a number of automated machine …
A data-driven text mining and semantic network analysis for design information retrieval
With the advent of the big-data era, massive information stored in electronic and digital forms
on the internet become valuable resources for knowledge discovery in engineering design …
on the internet become valuable resources for knowledge discovery in engineering design …
Lexicon-based approach outperforms Supervised Machine Learning approach for Urdu Sentiment Analysis in multiple domains
Web is facilitating people to express their views and opinions on different topics through
reviews and blogs. Effective advantages can be reaped from these reviews and blogs by …
reviews and blogs. Effective advantages can be reaped from these reviews and blogs by …