datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image_sentimentuzbek-sentiment-analysis
uzbek-sentiment-analysis
Sentiment analysis in the Uzbek language and new Datasets of Uzbek App reviews for Sentiment Classification
Feel free to use the dataset and the tools presented in this project, a paper about more details on creation and usage here.
If you find it useful, please make sure to cite the paper:
@inproceedings{kuriyozov2019deep,
author = {Kuriyozov, Elmurod and Matlatipov, Sanatbek and Alonso, Miguel A and Gómez-Rodríguez, Carlos},
title = {Deep… See the full description on the dataset page: https://huggingface.co/datasets/elmurod1202/uzbek-sentiment-analysis.human-visual-sentimentssentiment_datasetSST2-Sentiment-Analysis-Results
SST2 Sentiment Analysis Results
Overview
This dataset card presents the results of our sentiment analysis experiments on the SST-2 (Stanford Sentiment Treebank) benchmark. We fine-tuned BERT-base with various hyperparameter configurations to find the optimal setup for binary sentiment classification.
Experimental Setup
All experiments used BERT-base-uncased as the backbone model. We explored different learning rates, batch sizes… See the full description on the dataset page: https://huggingface.co/datasets/dusersad12/SST2-Sentiment-Analysis-Results.tcc-sentiment-analysis-dataReddit-Stock-Sentimentsocial_media_sentiment_analyzer_mediasocial-media-sentiment-labels
social_media_sentiment_labels
A dataset of social media text snippets labeled with numerical sentiment or stance indicators. The labels range from 0 to 2, likely representing negative, neutral, or positive sentiment. Text includes tweets with hashtags, mentions, and informal language.
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
Quality of Remastered Dataset
The final quality is B, with a relative quality… See the full description on the dataset page: https://huggingface.co/datasets/Ifemma/social-media-sentiment-labels.SentimentPro-Dataset
SentimentPro Dataset
1. Introduction
SentimentPro is a comprehensive multilingual sentiment analysis dataset designed for training and evaluating sentiment classification models. The dataset includes labeled examples from multiple domains including social media, product reviews, and news articles.
The dataset was curated using advanced filtering techniques to ensure high quality annotations. Each example has been validated by at least 3… See the full description on the dataset page: https://huggingface.co/datasets/toolevalxm/SentimentPro-Dataset.pepe_dataset_sentiment176_sentiment_finalNews_bcn_sentimentNews on Barcelona en spanish media outlets
tcc-sentiment-analysis-datamultimodal_crypto_sentiment_ethmultimodal_crypto_sentiment_btc_v4multimodal_crypto_sentiment_eth_v4multimodal_crypto_sentiment_btc