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3 days ago WEB Text Classification with XGBoost & Others: A Case Study Using BBC News Articles. Solving the BBC new article categorization problem. - Text-Classification …
1 week ago WEB The dataset utilized is an open-source dataset from Kaggle BBC news classification. Furthermore, the models are assessed using standard performance metrics like …
5 days ago WEB The BBC News Classification dataset is used in this project for training and testing the models. The dataset comprises of 2225 articles, each labeled under one of 5 …
1 week ago WEB Text classification of BBC news articles and text summarization … 2 days ago Web For this research, we used the BBC world news dataset. The data consists of a total of …
4 days ago WEB A standard technique in multi-label text classification is to use a set of binary classifiers. Get To Know Data We received 2225 data from Kaggle, which consists of 5 categories …
1 day ago WEB C3W1: Explore the BBC News archive. BBC News Classification Dataset. 2225 examples of new articles with their respective categories (labels). import tensorflow as tf from …
1 week ago WEB In this article, we will discuss different text classification techniques to solve the BBC new article categorization problem. We will also discuss different vector space models to …
1 week ago WEB The API is an easy-to-use REST API that will return breaking news articles from all over the world, from over 80,000 sources, some of which include BBC News, MSNBC, …
6 days ago WEB Explore and run machine learning code with Kaggle Notebooks | Using data from BBC articles fulltext and category
1 week ago WEB Much news is available online, and not all is categorized. A few researchers have carried out work on news classification in the past, and most of the work focused on fake …
6 days ago WEB When an article gets published, the first step in the pipeline is to extract all article components, such as text, title, images, author and URL (figure 1). A category for the …
4 days ago WEB Support Vector Machine (SVM) and its variants are gaining momentum among the Machine Learning community. In this paper, we present a quantitative analysis between the …
1 week ago WEB Text Classification. Text classification datasets are used to categorize natural language texts according to content. For example, think classifying news articles by topic, or …
1 week ago WEB BBC News Text Classification - Medium. 4 days ago The text needs to be transformed to vectors so as the algorithms will be able make predictions. In this case it will be used the …
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1 week ago WEB 3. DATA 3.1 Text Classification For this research, we used the BBC world news dataset. The data consists of a total of 2225 text documents from the BBC world news website …
5 days ago WEB The traditional text classification methods are based on machine learning. It requires a large amount of artificially labeled training data as well as human participation. However, …
1 week ago WEB The BBC News dataset comprises approximately 2,225 news articles published by BBC News in the early 2000s. Each article is associated with one of five categories: …
1 week ago WEB The data consists of a total of 2225 text documents from the BBC world news website corresponding to the stories covered in 2004-2005. The total size of the data is around 5 …
1 week ago WEB Text Classification of English News Articles using Graph Mining Techniques. Hasan Hameed Hasan Ahmed Abdulla, W. Awad. Published in International Conference on…
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5 days ago WEB Visit BBC News for up-to-the-minute news, breaking news, video, audio and feature stories. BBC News provides trusted World and UK news as well as local and regional …