sentiments
multilingual-sentiments
Multilingual Sentiments Dataset
A collection of multilingual sentiments datasets grouped into 3 classes -- positive, neutral, negative.
Most multilingual sentiment datasets are either 2-class positive or negative, 5-class ratings of products reviews (e.g. Amazon multilingual dataset) or multiple classes of emotions. However, to an average person, sometimes positive, negative and neutral classes suffice and are more straightforward to perceive and annotate. Also, a positive/negative… See the full description on the dataset page: https://huggingface.co/datasets/tyqiangz/multilingual-sentiments.Arabic-Sentiments
Arabic Sentiment Analysis Dataset
Dataset Description
This dataset contains Arabic text snippets, each labeled with a sentiment polarity (positive or negative). The data appears to be intended for tasks like sentiment analysis or text classification. It is divided into separate training and testing files (train.tsv and test.tsv).
Source Files
train.tsv
test.tsv
Language
Arabic
Data Format
Tab-Separated Values (.tsv)
Each line consists of two fields separated… See the full description on the dataset page: https://huggingface.co/datasets/ImranzamanML/Arabic-Sentiments.arabic-sentiments2finance-financialmodelingprep-stock-news-sentiments-rss-feed
Dataset Card for "finance-financialmodelingprep-stock-news-sentiments-rss-feed"
More Information needed
human-visual-sentimentsSentiments-FinBERT-PT-BR
Dataset
A manually annotated dataset was created to enable supervised training for the FinBERT-PT-BR model, which focuses on sentiment analysis of Brazilian Portuguese financial texts.
More than 1.4 million financial news texts in Portuguese were collected and used for the initial language modeling phase. From this corpus, a sample of 1,000 texts was manually annotated with sentiment labels.
Annotation Process
Three annotators participated in the process.
All texts were… See the full description on the dataset page: https://huggingface.co/datasets/lucas-leme/Sentiments-FinBERT-PT-BR.