A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
[HTML][HTML] Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …
intending the primary solution scheme for the datasets containing one or more missing …
Abusive Bangla comments detection on Facebook using transformer-based deep learning models
In the era of social networking platforms, user-generated content is flooding every second on
online social media platforms like Facebook. So observing and identifying many contents …
online social media platforms like Facebook. So observing and identifying many contents …
Quantification of COVID-19 impacts on NO2 and O3: Systematic model selection and hyperparameter optimization on AI-based meteorological-normalization methods
Since the unprecedented outbreak of the COVID-19, numerous meteorological-
normalization techniques have been developed in lockdown-imposed regions to decouple …
normalization techniques have been developed in lockdown-imposed regions to decouple …
A comprehensive machine learning-coupled response surface methodology approach for predictive modeling and optimization of biogas potential in anaerobic Co …
The increasing demand for renewable energy sources has driven the research and
development of biogas production as a sustainable and efficient solution. Biogas production …
development of biogas production as a sustainable and efficient solution. Biogas production …
[HTML][HTML] Automatic pavement damage predictions using various machine learning algorithms: Evaluation and comparison
R Nyirandayisabye, H Li, Q Dong, T Hakuzweyezu… - Results in …, 2022 - Elsevier
In recent years, different technologies based on Machine Learning (ML) algorithms have
been developed to evaluate road distress quality and help with pavement maintenance …
been developed to evaluate road distress quality and help with pavement maintenance …
MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis
Sentiment analysis is an important natural language processing (NLP) task due to a wide
range of applications. Most existing sentiment analysis techniques are limited to the analysis …
range of applications. Most existing sentiment analysis techniques are limited to the analysis …
[PDF][PDF] Detecting malicious dns over https traffic in domain name system using machine learning classifiers
YM Banadaki, S Robert - Journal of Computer Sciences and …, 2020 - researchgate.net
This paper presents a systematic two-layer approach for detecting DNS over HTTPS (DoH)
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
traffic and distinguishing Benign-DoH traffic from Malicious-DoH traffic using six machine …
Multimodal Hate Speech Event Detection-Shared Task 4
Ensuring the moderation of hate speech and its targets emerges as a critical imperative
within contemporary digital discourse. To facilitate this imperative, the shared task …
within contemporary digital discourse. To facilitate this imperative, the shared task …
Improving soil moisture prediction with deep learning and machine learning models
Reliable soil moisture (SM) data is critical for effective water resources management, yet its
accurate measurement and prediction remain challenging. This study was conducted to …
accurate measurement and prediction remain challenging. This study was conducted to …