Experimental analysis with dataset available in Kaggle we found that hybrid features is more effective for accurate classification as compared to individual features. Additionally, we found for classification the SVM and ANN are more accurate as compared to the Bayes classifier.Sharma, ...
In this paper, the machine learning algorithm Naive Bayes Classifier is applied to the Kaggle spam mails dataset to classify the emails in our inbox as spa... S Kumar,K Gupta,M Gupta - 《Annals of Data Science》 被引量: 0发表: 2023年 Content based web spam detection using naive bayes ...
This paper interpreted a spam detection model based on self mechanism using BERT on kaggle dataset. Our proposed model outperforms than the machine learning algorithms and deep learning with accuracy 98.80%.Hossain, Syed Md. MinhazSen, Anik
The SMS dataset is considered from Kaggle resource. The detailed result analysis is presented. Accuracy of 96.19% and 98.79% is noticed for the chosen algorithms, respectively, for spam SMS detection.doi:10.1007/978-981-15-9509-7_53P. Prasanna Bharathi...
To prevent this we need to come up with an efficient system for email spam detection. In this paper, we try to implement machine learning algorithms using Scikit-learn in Colaboratory and we aim to find the best algorithm. From Kaggle, a publicly accessible email dataset is taken. In order...
This paper uses an open-source dataset from Kaggle of labelled spam and not spam messages. It has a total of 5585 messages of which 4825 are labelled as spam and 760 as spam. This paper uses various machine learning algorithms and an algorithm with BERT. In comparison with the other ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from SMS Spam Collection Dataset
Dataset Description Email spam detection is a process of identifying and categorizing incoming emails as either spam or legitimate (non-spam) based on their content. The dataset provided for this task consists of two columns: Id: An identification number or code assigned to each car listing in ...
Urdu Tweets Dataset for Spam Detection. Kaggle. Available online: https://www.kaggle.com/datasets/momnadar23/urdu-tweets-dataset-for-spam-detection (accessed on 1 May 2023). Ge, Z.; Sun, Y.; Smith, M. Authorship attribution using a neural network language model. Proc. AAAI Conf. Artif....