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Semeval-2016 Task 6: Detecting stance in tweets
Semeval-2016 Task 6: Detecting stance in tweets. -
ClimateNLP: Analyzing Public Sentiment Towards Climate Change using NLP
The dataset used for sentiment analysis of climate change-related tweets. -
Rotten Tomatoes
The Rotten Tomatoes dataset has 5331 positive and 5331 negative review sentences. -
SST2, IMDB, Rotten Tomatoes
The SST2 dataset has 6920/872/1821 example sentences in the train/dev/test sets. The task is binary classification into positive/negative sentiment. The IMDB dataset has... -
Twitter15 and Twitter17
Twitter15 and Twitter17 are two English datasets for Target-oriented Multimodal Sentiment Classification (TMSC). The datasets contain text and image data, where the text data is... -
Booking Labeled Dataset
The dataset used for training a text classifier to learn the polarity of hotel reviews. -
Memotion Dataset 7K
The Memotion Dataset 7K is a collection of 7000 memes with associated metadata. -
Sentiment Analysis Dataset
The dataset used in the paper is a collection of unstructured text data from social networks, news sites, and forums. -
Polarity dataset
The Polarity dataset contains text documents with sentiment labels. -
IMDb Review Dataset
The IMDb review dataset is used for positive generation task. -
Annotating expressions of opinions and emotions in language
Annotating expressions of opinions and emotions in language -
WASSA 2017 Emotion Intensity Shared task dataset
The WASSA 2017 Emotion Intensity Shared task dataset is a collection of 7097 annotated tweets, classified into 4 categories: joy, anger, fear, and sadness. -
Jester Dataset
The Jester dataset contains joke ratings in a continuous scale from 1 to 10 for 100 jokes from a total of 73421 users. -
SemEval-2017 Task 4
The SemEval-2017 Task 4 dataset consists of tweets with sentiment labels. -
SemEval-2014 Task 9: Sentiment Analysis in Twitter
Sentiment analysis dataset for Twitter
