118 datasets found

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

Sentence-BERT: Sentence embeddings using Siamese BERT-networks

Exploring Amharic sentiment analysis from social media texts: Building annotation tools and classification models

NaijaSenti: A Nigerian Twitter sentiment corpus for multilingual sentiment analysis

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

AfriSenti-SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages

IMDB and Yelp datasets for sentiment classification

IMDB and Yelp datasets for sentiment classification

IMDB and Yelp are datasets used for sentiment analysis and author identification.

The dataset is used for entity-specific sentiment classification of Yahoo News comments.

The dataset contains high-frequency news sentiment and volatility of the S&P 500.

The Tweet Sentiment Extraction dataset contains positive, negative, and neutral tweets with human-annotated rationales.

The Movie Reviews dataset contains positive and negative movie reviews with rationales annotated by humans to support classification.

The Yelp sentiment dataset contains labeled sentiment annotations for Yelp reviews.

The dataset consists of 25000 reviews from IMDb.