datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sentiment-analysis-in-commodity-market-gold
Dataset Card for Sentiment Analysis of Commodity News (Gold)
This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021).
The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.sentiment-analysis-monitoring
Sentiment Analysis Monitoring & Retraining Telemetry
Repository di telemetria e dati per la pipeline MLOps del modello di Sentiment Analysis (Twitter-RoBERTa).
Configurazioni disponibili:
metrics: Storico temporale dei batch di monitoraggio, andamento dell'indice F1 e distribuzione del sentiment (% Positivi, Negativi, Neutri).
data: Buffer di accumulo e snapshot utilizzati per il retraining continuo del modello.
sentiment_analysis_preprocessed_datasetBrief idea about dataset:
This dataset is designed for a Text Classification to be specific Multi Class Classification, inorder to train a model (Supervised Learning) for Sentiment Analysis.
Also to be able retrain the model on the given feedback over a wrong predicted sentiment this dataset will help to manage those things using Other Features.
Main Features
text
labels
This feature variable has all sort of texts, sentences, tweets, etc.
This target variable contains 3 types of… See the full description on the dataset page: https://huggingface.co/datasets/prasadsawant7/sentiment_analysis_preprocessed_dataset.PersianTwitterDataset-SentimentAnalysis
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
This dataset contains more than 3300 Persian tweets, crawled from X.com
Each tweet is assigned a label, which is a number between 0 to 4.
Label 0 indicates the sentiment of Happiness and Joy.
Label 1 indicates the sentiment of Sadness.
Label 2 indicates the sentiment of Anger and… See the full description on the dataset page: https://huggingface.co/datasets/moali-mkh-2000/PersianTwitterDataset-SentimentAnalysis.sentiment_analysis_preprocessed_datasetBrief idea about dataset:
This dataset is designed for a Text Classification to be specific Multi Class Classification, inorder to train a model (Supervised Learning) for Sentiment Analysis.
Also to be able retrain the model on the given feedback over a wrong predicted sentiment this dataset will help to manage those things using Other Features.
Main Features
text
labels
This feature variable has all sort of texts, sentences, tweets, etc.
This target variable contains 3 types of… See the full description on the dataset page: https://huggingface.co/datasets/Aldoreni45/sentiment_analysis_preprocessed_dataset.Sentiment-Analysis-Tokenizedsentiment_analysis_dataset-92f2ad6c-0376-4ce9-be36-3c6f26f144d7sentiment_analysis_batch_predictionssentiment_analysis_batch_predictionssentiment_analysis_dataset-920376de-dcd1-48e0-965d-597cb1bf5ac8Sentiment-analysis-stevesaiSentiment-analysis-for-mental-healthb2w_sentimentanalysis_icompsentiment_analysis_dataset-9846258f-16b8-422d-a291-965686769dcasentiment_analysis_dataset-9fb4d6b9-87e1-4d47-a0bb-b265fc66d1e1sentiment_analysis_v1