Reuters Text Categorization Collection: This is a collection of documents that appeared on Reuters newswire in The documents were assembled. I have compiled several data sets for topic indexing, a task similar to text classification. Here they are for download: And this. The most popular datasets for text-classification evaluation are: have specific keywords in the meta tag and apply to document classification.
11 Feb Classify Wikipedia documents into one of , categories The LSHTC Challenge is a hierarchical text classification competition, using very large datasets. Classification of text documents: using a MLComp dataset how the scikit-learn can be used to classify documents by topics using a bag-of-words approach. If the classification (supervised learning) doesn't work, could anyone tell me some more advanced methods to automatically categorize any.
Document classification is an example of Machine Learning (ML) in the form of Categories are predefined and documents within the training dataset are. 27 Sep Text classification refers to labeling sentences or documents, such as email spam Below are some good beginner text classification datasets. To start creating a documents dataset, open the Datasets tab, click New Dataset and choose Document Classification problem: That launches the documents.