211 datasets found

A dataset for fake news inference

A dataset for opinion spam and 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.

The dataset used in this paper for compressed sensing, Lasso regression, and Logistic Lasso regression problems.

The dataset used in the paper is the news20-binary dataset.

The dataset used in the paper is the url dataset.

The dataset used in the paper is the E2006-log1p dataset.

The dataset used in the paper is the webspam dataset.

The dataset is used to evaluate the performance of the Linear Additive Markov Process (LAMP) on real-world sequences.

Online shopping review dataset

The dataset used in the KALM paper.

Student satisfaction scores on a 3-point scale and their free text comments written about university subjects are used as the dataset.

The dataset used in the paper is the TREC dataset, which consists of 124 queries.

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...

Self-alignment is an effective way to reduce the cost of human annotation while ensuring promising model capability. This objective can be achieved from three aspects: (i) high...

A dataset for guilt detection in text, laying the groundwork for future research and advancements in understanding guilt through NLP methods.

A novel dataset tailored to dissect the relationship between guilt and regret and their unique textual markers.

The dataset consists of 544 documents sourced from the BBC Sport website.

The dataset consists of newswire articles available in five languages.

The New York Times bag-of-words data (NYTW) is a real-world dataset often used for text classification in machine learning.