132 datasets found

A dataset of Hinglish text for code-mixed social media text for sentiment analysis

NLI and review classification datasets used for character-level translation experiments

The Twitter Climate Change Sentiment Dataset contains labelled tweets pertaining to climate change, covering the time period from April 27, 2015, to February 21, 2018.

The dataset is a collection of comments with homophobia and transphobia annotations, used for the task of homophobia and transphobia detection.

The HappyDB dataset is a corpus of 100,000 crowdsourced happy moments, each described in a text sentence.

Social media hold valuable, vast and unstructured information on public opinion that can be utilized to improve products and services. The automatic analysis of such data,...

A dataset for sentiment analysis of Yoruba movie reviews.

A dataset of 16,000 tweets, of which 3,383 tweets were sexist.

Stanford Sentiment Treebank Binary (SST-2) and Internet Movie Database (IMDb) datasets for sentiment classification.

The dataset used in the paper for sentiment analysis in cross-language and cross-domain settings.

A manually labelled dataset of 124,360 weather tweets collected by Asiaee T. et al. (2012) as part of the "Dialogue Earth" project.

A new approach to sentiment analysis that takes context into account by combining the dictionaries generated by SocialSent with the scoring rules and base sentiment dictionary...

Twitter Airline Data dataset contains sentiment values on a scale of 0-2.

Internal feedback data (IFD) gathered by the company on healthcare applications. IFD contains complaints and feedback collected from customers along with sentiment score...

The dataset is a corpus of movie reviews and anonymous imageboard messages annotated with consideration of containing or not state of aggression.

The dataset on which this article is based are offered by [3]. The sources of information are: The financial time series of the SPDR S&P 500 ETF (SPY), a fund replicating...

The Yelp Reviews Polarity dataset contains 560k and 38k (in training and dev portion respectively) customer reviews in English from Yelp.

The dataset used in this paper is SST-2, Irony, IronyB, TREC6, and SNIPS.

EmoLex

Global Sentiment Analysis Of COVID-19 Tweets Over Time