66 datasets found

The SemEval-2017 Task 4 dataset consists of tweets with sentiment labels.

The dataset contains COVID-19 tweets related to four topics – “Wearing a Face Mask.”, “Anthony S. Fauci, M.D.”, “Keeping Schools Closed”, and “Stay at Home Orders”. Each tweet...

The dataset contains over 24 million hashtags collected from Twitter during the 2019 Lok Sabha elections in India.

Convolutional neural network for sentiment analysis

Sentiment analysis dataset for Twitter

Twitter sentiment analysis dataset for SemEval-2016 Task 4

The SemEval Twitter sentiment datasets contain tweets labeled as positive, negative, or neutral.

The PAN Profiling Fake News Spreader Task contains a dataset in English, whose samples were collected from Twitter.

The PAN Profiling Hate Speech Spreader Task contains a dataset in English and Spanish, whose samples were collected from Twitter.

The Tweet Emotion Intensity Dataset was created using best–worst scaling and crowdsourcing.

The Higgs dataset is a public dataset built by monitoring the spreading processes on Twitter before, during and after the announcement of the discovery of a new particle with...

Rumor detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. This paper proposes a novel Claim-guided Hierarchical Graph Attention Network based on...

Rumor detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. This paper proposes a novel Claim-guided Hierarchical Graph Attention Network based on...

This dataset includes the identifiers of sampled Twitter users, labeled by means of crowd sourcing with respect to the personal attributes of age, gender, ethnicity, family...

The dataset contains 50,000 Twitter users with 19 features, including influence score, tweet credibility, sentiment score, and h-index score.

The dataset used in this study is a collection of Twitter data, containing all relevant tweets published for each stock.

A dataset created by Coppersmith et al. for the Computational Linguistics and Clinical Psychology (CLPsych) 2015 Shared Task.

Sentiment in Twitter events.

Topic popularity prediction in social networks has drawn much attention recently. Various elegant models have been proposed for this issue. However, different datasets and...

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