SentimentAnalysis
sentiment_analysisSENTIPOLC 2016 dataset
The SENTIPOLC 2016 dataset contains 9410 tweets annotated for subjectivity, overall and literal polarity, and irony.
The dataset has been created and used in the context of the SENTIPOLC 2016 task (http://www.di.unito.it/~tutreeb/sentipolc-evalita16/index.html), organized as part of the EVALITA 2016 evaluation campaign.
Original files available here:
https://live.european-language-grid.eu/catalogue/corpus/7479/download/
If you find this dataset useful please cite:… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/sentiment_analysis.SentimentAnalysisHindi
SentimentAnalysisHindi
An MTEB dataset
Massive Text Embedding Benchmark
Hindi Sentiment Analysis Dataset
Task category
t2c
Domains
Reviews, Written
Reference
https://huggingface.co/datasets/OdiaGenAI/sentiment_analysis_hindi
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_task("SentimentAnalysisHindi")
evaluator = mteb.MTEB([task])
model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/SentimentAnalysisHindi.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.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.Turkish_SentimentAnalysis_TRSAv1TRSAv1 (Turkish Sentiment Analysis Version 1) Dataset
This data set has been produced to contribute to Turkish NLP studies.
The dataset consists of a total of 150 thousand samples, 50 thousand negative, 50 thousand positive, and 50 thousand neutral.
It can be used in text classification and sentiment analysis studies by citing the related study.
Related Work
Aydoğan M, Kocaman V. TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites. Journal of… See the full description on the dataset page: https://huggingface.co/datasets/maydogan/Turkish_SentimentAnalysis_TRSAv1.sentiment_analysis_data
Dataset Card for "sentiment_analysis_data"
More Information needed