datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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-catalan-reviews
CSXSC: Classificador de Sentiments de Xarxes Socials en Català
This repository contains the CSXSC (Classificador de Sentiments a Xarxes Socials en Català) dataset, a comprehensive corpus designed for sentiment analysis of Catalan-language content from social media.
The dataset contains 23,788 text entries, each classified as positive, negative, or neutral. It was specifically constructed to address the significant class imbalance often found in user-generated content, resulting in a… See the full description on the dataset page: https://huggingface.co/datasets/Danie1Arias/sentiment-analysis-catalan-reviews.Sentiment_Analysis_Benchmarksentiment-analysis-tweetsentiment_analysisSentiment-Analysis
Sentiment Analysis Dataset
Overview
This dataset is designed for sentiment analysis tasks, providing labeled examples across three sentiment categories:
0: Negative
1: Neutral
2: Positive
It is suitable for training, validating, and testing text classification models in tasks such as social media sentiment analysis, customer feedback evaluation, and opinion mining.
Dataset Details
Key Features
Type: CSV
Language: English
Labels:
0:… See the full description on the dataset page: https://huggingface.co/datasets/syedkhalid0/Sentiment-Analysis.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_financial_news_datasentiment-analysis-for-mental-healthsentiment-analysis-dataset
license: mittask_categories: - text-classificationlanguage: - entags: - financepretty_name: sentiment-analysis-datasetsize_categories: - n<1K
Dataset Card for Sentiment Analysis Dataset
This dataset card aims to provide a comprehensive overview of a sentiment analysis dataset containing product reviews labeled with sentiment.
Dataset Details
Dataset Description
This dataset contains 1,000 product reviews categorized into two sentiment… See the full description on the dataset page: https://huggingface.co/datasets/krusty99/sentiment-analysis-dataset.sentiment-analysis-taglish-shopee-commentsentiment-analysis-for-mental-health-Combined-DataSentiment-Analysis-Over-sampled
Sentiment Analysis Dataset
Overview
This dataset is designed for sentiment analysis tasks, offering a balanced and pre-processed collection of labeled text data. The dataset includes three sentiment labels:
0: Negative
1: Neutral
2: Positive
The training dataset has been oversampled to ensure balanced label distribution, making it suitable for training robust sentiment analysis models. The validation and test datasets remain unaltered to preserve the original… See the full description on the dataset page: https://huggingface.co/datasets/syedkhalid0/Sentiment-Analysis-Over-sampled.Sentiment-Analysis-Roman-Urdusentiment-analysis-llama2ChatGPT_SentimentAnalysisSentimentanalysis-endangeredspeciesdataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
splits:
- name: Balance_Filtered_Total_Data2
dataset_size: 54491
- name: NoBalance_Filtered_Total_Data2
dataset_size: 42025
configs:
config_name: default
Dataset Card
Nowadays, the conversation of endangered species is urgent. We create this dataset with the comments about endangered species, collected from several popular social media.
There are two dateset:… See the full description on the dataset page: https://huggingface.co/datasets/RayanNan/Sentimentanalysis-endangeredspecies.sentiment-analysissentiment-analysis-for-mental-healthSentiment_Analysis_for_Mental_HealthSentiment_analysis_on_Telugu_movie_Review_3SentimentAnalysisOnReviewVideossentiment_analysis_dataset-9846258f-16b8-422d-a291-965686769dcasentiment-analysistsentiment_analysis_dataset-92f2ad6c-0376-4ce9-be36-3c6f26f144d7sentiment_analysis_dataset-920376de-dcd1-48e0-965d-597cb1bf5ac8sentiment_analysissentiment-analysis-dataset