Performance Evaluation of Natural Language Processing Algorithms for Sentiment Analysis

SHA Silviya, SJ Faith, R Seetha, M Hemalatha - SN Computer Science, 2024 - Springer
… numerous methods for detecting phishing attacks that analyze text by … boosting (GBDT) A
robust classifier is produced by combining many weak classifiers using the XGBoost boosting-…

[Retracted] Real‐Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques

AP Rodrigues, R Fernandes, A Shetty… - Computational …, 2022 - Wiley Online Library
… The performance of each classifier is analyzed. The classification results showed that the
features … The usage of several feature sets has the advantage of increasing the possibilities of …

Cloud-based email phishing attack using machine and deep learning algorithm

UA Butt, R Amin, H Aldabbas, S Mohan… - Complex & Intelligent …, 2023 - Springer
… and semantic analysis methods was used to detect and … detects phishing attacks in this
research to improve performance, … In this paper, phishing mail is becoming increasing day-by-…

Scam detection assistant: Automated protection from scammers

M Kim, C Song, H Kim, D Park, Y Kwon… - 2019 first …, 2019 - ieeexplore.ieee.org
… and organizations is the increasing rate of scams which are being … the performance of a
secure operation. Our approach to the … Our approach relies on semantic analysis of the content, …

Semantic embeddings for medical providers and fraud detection

JM Johnson, TM Khoshgoftaar - 2020 IEEE 21st International …, 2020 - ieeexplore.ieee.org
summary, related work shows that semantic embeddings for medical concepts improve
performance … We extend existing Medicare fraud detection work by leveraging embedding ideas …

SM‐Detector: A security model based on BERT to detect SMiShing messages in mobile environments

A Ghourabi - Concurrency and Computation: Practice and …, 2021 - Wiley Online Library
… as SMiShing and spam, are also increasing. These actions are … order to improve the
performance of classification algorithms … , semantic dictionaries and techniques of semantic

Hybrid ensemble framework with self-attention mechanism for social spam detection on imbalanced data

S Rao, AK Verma, T Bhatia - Expert Systems with Applications, 2023 - Elsevier
… For enhancing the performance score further, the prediction result of each ML model is used
in our proposed soft and hard voting ensemble models, ie, PHVE and PSVE, as described …

Machine learning for SPAM detection

P Teja Nallamothu… - Asian Journal of …, 2023 - eprint.subtopublish.com
Spam messages have an impact on a device's performance, … Spam filtering based on latent
semantic indexing. In: Berry MW, … Enhancing the naive Bayes spam filter through intelligent …

Spam emails detection based on distributed word embedding with deep learning

S Srinivasan, V Ravi, M Alazab, S Ketha… - … intelligence and big …, 2021 - Springer
… importance towards enhancing the accuracy of spam detection. Even … Latent semantic analysis
(LSA) using TDM or TF-IDF … modified to enhance spam email detection performance. The …

Sentiment analysis for e-payment service providers using evolutionary extreme gradient boosting

DA Al-Qudah, AZ Ala'M, PA Castillo-Valdivieso… - IEEE …, 2020 - ieeexplore.ieee.org
… the performance of machines using gradient-boosted decision … application that uses gradient
boosting machines to push … optimization algorithm for spam profiles detection on online …