[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
M Subramanian, VE Sathiskumar… - Alexandria Engineering …, 2023 - Elsevier
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …
rapid information-sharing capabilities of social media platforms and online communities. As …
Big data analytics deep learning techniques and applications: A survey
HA Selmy, HK Mohamed, W Medhat - Information Systems, 2023 - Elsevier
Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …
achieved great success in numerous scientific and technological disciplines, including …
[HTML][HTML] Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages
In the business world, large companies that can achieve continuity in innovation gain a
significant competitive advantage. The sensitivity of these companies to follow and monitor …
significant competitive advantage. The sensitivity of these companies to follow and monitor …
[HTML][HTML] Detecting abusive comments at a fine-grained level in a low-resource language
BR Chakravarthi, R Priyadharshini, S Banerjee… - Natural Language …, 2023 - Elsevier
YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …
share videos for their followers to view, like, and comment on. Abusive comments on videos …
Culturellm: Incorporating cultural differences into large language models
Large language models (LLMs) are reported to be partial to certain cultures owing to the
training data dominance from the English corpora. Since multilingual cultural data are often …
training data dominance from the English corpora. Since multilingual cultural data are often …
Offensive language detection in Arabic social networks using evolutionary-based classifiers learned from fine-tuned embeddings
Social networks facilitate communication between people from all over the world.
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Unfortunately, the excessive use of social networks leads to the rise of antisocial behaviors …
Homophobic and hate speech detection using multilingual-bert model on turkish social media
Homophobic expressions are a form of insulting the sexual orientation or personality of
people. Severe psychological traumas may occur in people who are exposed to this type of …
people. Severe psychological traumas may occur in people who are exposed to this type of …
Detection of cyberbullying patterns in low resource colloquial Roman Urdu microtext using natural language processing, machine learning, and ensemble techniques
Social media platforms have become a substratum for people to enunciate their opinions
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …
Enhancing social media platforms with machine learning algorithms and neural networks
H Taherdoost - Algorithms, 2023 - mdpi.com
Network analysis aids management in reducing overall expenditures and maintenance
workload. Social media platforms frequently use neural networks to suggest material that …
workload. Social media platforms frequently use neural networks to suggest material that …
[HTML][HTML] A novel adaptive ensemble learning framework for automated Beggiatoa Spp. coverage estimation
Abstract The presence of Beggiatoa Spp. indicates anoxic conditions or 'poor condition'in
marine sediments beneath aquaculture pens, resulting from organic enrichment. Currently …
marine sediments beneath aquaculture pens, resulting from organic enrichment. Currently …