103 datasets found

The epsilon dataset is a collection of 50,000 text documents, each containing a single sentence.

The paper proposes dual-sparse regularized randomized reduction methods for classification. The dataset used in the paper is the RCV1-binary dataset.

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.

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...

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

The dataset used for text classification tasks, including SST-1, SST-2, SUBJ, and IMDB.

The dataset used in the paper is a real-world dataset for sentiment analysis.

The dataset contains features about articles published by Mashable web site over a period of two years.

The Twitter Dataset is a collection of tweets annotated with Plutchik's emotions, consisting of tweets in three different languages: English, Dutch, and German.

The FastText dataset is a subword token embedding model. It produces a vector representation of a word based on composing embeddings of the character n-grams composing the word.

The Hatespeech dataset is a collection of tweets containing lexicons used in hate speech.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors trained a GPT2 transformer language model on the C4 dataset.