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Optimizing semantic LSTM for spam detection

WebJan 1, 2024 · Spam detection in noisy platform such as Twitter is still a problem due to short text and high variability in the language used in social media. In this paper, we propose a novel deep learning architecture based on Convolutional Neural Network (CNN) and Long Short Term Neural Network (LSTM). WebJul 27, 2024 · NLP is commonly used in text classification task such as spam detection and sentiment analysis, text generation, language translations and document classification. … dickens christmas nashville

Optimizing semantic LSTM for spam detection Request …

WebJan 1, 2024 · We propose a deep learning based framework to classify SMS Spam. • The proposed model outperforms traditional machine learning classifiers on balanced and imbalanced dataset, achieving a remarkable accuracy of 99.44%. The rest of the paper is organized as follows: Section 2 is the literature review, Section 3 is the proposed … WebMar 1, 2024 · This paper proposes a content-based approach, which can be used to filter spam tweets. The approach involves using tweets in machine learning and compression algorithms in order to filter the undesired tweets. Export citation and abstract BibTeX RIS Previous article in issue Next article in issue WebApr 12, 2024 · The Union is a 6-story luxury apartment community located in Portland that features a variety of floor plans to choose from: Studios, Open 1-Bedrooms, 1- to 2-Bedrooms with Den, and ground-floor Live/Work apartments.The community has all the amenities you would expect and even more than you can imagine - including your very … citizens bank cash back plus