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FNID: Fake News Inference Dataset
A dataset for fake news inference -
Detecting Opinion Spams and Fake News Using Text Classification
A dataset for opinion spam and fake news detection -
Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection
A new benchmark dataset for fake news detection, containing 12,836 short statements labeled for truthfulness, subject, context/venue, speaker, state, party, and prior history. -
TREC dataset
The dataset used in the paper is the TREC dataset, which consists of 124 queries. -
Amazon dataset
The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number... -
Text Classification as Matching
Many-class text classification is formulated as a matching problem between the input texts and the class descriptions. -
Newsgroups 4
The dataset used in this paper for Dominant Set Clustering. -
Newsgroups 3
The dataset used in this paper for Dominant Set Clustering. -
Newsgroups 2
The dataset used in this paper for Dominant Set Clustering. -
Text Classification
Text classification dataset -
Text, Tabular and Image Classification
Text, tabular and image classification datasets -
MPQA Dataset
The MPQA dataset contains 10,606 opinions, and each of them is labeled as Objective or Subjective. -
CR Dataset
The MR dataset is a movie review repository (containing 10,662 reviews) while CR contains 3,775 reviews about products, e.g. a music player. -
Movie Review Repository (MR)
The word-level model consists of one convolutional layer, followed by a max pooling layer and a fully connected layer with dropout, and last a softmax output layer. -
DBpedia Ontology Dataset
Two representative DNN models and some corresponding datasets are chosen as the experiment targets to evaluate the effectiveness of the proposed method. -
Banknote Authentication
data extracted from real images of forged banknotes, with the help of an industrial camera. -
Amazon Books
The Amazon Books dataset is a collection of user ratings for books, with each rating indicating the user's preference for the book. -
COVID-19 Fake News Detection in English
The dataset provided for the competition has social media posts related to COVID-19 and corresponding labels indicating if the social media posts are fake or real.