19 datasets found

The dataset used in this paper is a collection of papers from the DBLP conferences between 2004 and 2014.

The dataset used in this paper is a collection of papers from the NIPS conferences between 1987 and 1999.

Text categorization, a document may be associated with a range of topics, such as science, entertainment, and news.

NIPS dataset is used to test the proposed Hierarchical Latent Word Clustering algorithm.

The dataset consists of 300 topics generated using Wikipedia articles and news articles taken from the New York Times. Each topic is represented by ten terms with the highest...

The Search Snippets dataset is a collection of search snippets from Google.

The Pascal Flickr dataset is a collection of captions for images from Flickr.

The dataset used in this paper is a collection of short texts, including tweets, Pascal Flickr captions, and search snippets.

The dataset used in the paper is the New York Times dataset and the 20Newsgroups dataset.

Topic modeling has been a widely used tool for unsupervised text analysis. However, comprehensive evaluations of a topic model remain challenging.

The 20Newsgroups data set is a dataset of 18,846 instances of newsgroup documents.

The Japanese election manifesto data contains texts of Japanese election manifestos.

The Congressional bills project dataset contains texts of congressional bills.

The AGNews dataset is a collection of news articles, where each article is labeled with a topic (e.g. politics, sports, etc.).

The dataset used in this paper is a collection of news articles from Google News.

The dataset used in this paper is a collection of English Wikipedia abstracts from DBpedia.

The dataset used in this paper is a collection of documents from various domains, including news, articles, and emails.

The dataset used in this paper is Wikitext-103, a general English language corpus containing good and featured Wikipedia articles.

The Reuters RCV1-v2 contains 804,414 newswire articles. There are 103 topics which form a tree hierarchy. Thus documents typically have multiple labels. The data was randomly...