132 datasets found

Opinion mining and sentiment analysis dataset

Twitter sentiment analysis dataset for SemEval-2016 Task 4

The Ciao product review dataset contains product reviews labeled as positive, negative, or neutral.

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

The paper proposes a novel approach to the sequential example selection paradigm for in-context learning.

Chinese sentiment classification and entailment models

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

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...

The GoEmotions dataset, a collection of 58k Reddit comments labeled according to the publisher affect from a taxonomy of 28 emotions.

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

The dataset used in this paper for sentiment analysis.

Sentiment in Twitter events.

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

A newly created corpus of discussions from Wikipedia Talk pages for dispute detection

A newly created corpus of Wikipedia Talk pages for dispute detection

A dataset of 150 research papers from the domain of computer science, manually annotated and class labelled for sentiment analysis.

Stream TwitterSentiment is a dataset of tweets, focusing on sentiment analysis, and is used to test the performance of active stream learning algorithms for polarity learning.

StreamJi is a dataset of product reviews, focusing on features of products, and is used to test the performance of active stream learning algorithms for polarity learning.

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

Targeted sentiment analysis for Norwegian text