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Sentence-BERT
Sentence-BERT: Sentence embeddings using Siamese BERT-networks -
Amharic Sentiment Analysis
Exploring Amharic sentiment analysis from social media texts: Building annotation tools and classification models -
NaijaSenti
NaijaSenti: A Nigerian Twitter sentiment corpus for multilingual sentiment analysis -
AfriSenti-SemEval-2023 Task 12
AfriSenti-SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages -
IMDB and Yelp datasets
IMDB and Yelp are datasets used for sentiment analysis and author identification. -
Entity-Specific Sentiment Classification of Yahoo News Comments
The dataset is used for entity-specific sentiment classification of Yahoo News comments. -
Sentiment-Driven Stochastic Volatility Model
The dataset contains high-frequency news sentiment and volatility of the S&P 500. -
Tweet Sentiment Extraction
The Tweet Sentiment Extraction dataset contains positive, negative, and neutral tweets with human-annotated rationales. -
Movie Reviews
The Movie Reviews dataset contains positive and negative movie reviews with rationales annotated by humans to support classification. -
Yelp Sentiment Dataset
The Yelp sentiment dataset contains labeled sentiment annotations for Yelp reviews. -
IMDb Reviews
The dataset consists of 25000 reviews from IMDb. -
Large Movie Review Dataset
Large Movie Review Dataset (IMDB) -
MovieReviews
The MovieReviews dataset is originally a natural language processing dataset from the ERASER benchmark consisting of 2000 movie reviews from the IMDB database. -
Yelp Review Dataset
The Yelp review dataset contains hotel and restaurant reviews filtered (spam) and recommended (legitimate) by Yelp. -
Sentiment Analysis Datasets
The dataset used in the paper is a collection of adversarial examples and natural examples for sentiment analysis tasks.
