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01katossky /multi-domain-sentimentThis sentiment dataset was used in the paper: John Blitzer, Mark Dredze, Fernando Pereira. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. Association of Computational Linguistics (ACL), 2007. The author asks, if you use this data for your research or a publication, to cite the above paper as the reference for the data, and to inform him about the reuse. The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from 4… See the full description on the dataset page: https://huggingface.co/datasets/katossky/multi-domain-sentiment.0 likes206 downloads4y agoHugging Face02CATIE-AQ /amazon_reviews_multi_fr_prompt_sentiment_analysis amazon_reviews_multi_fr_prompt_sentiment_analysis Summary amazon_reviews_multi_fr_prompt_sentiment_analysis is a subset of the Dataset of French Prompts (DFP).It contains 5,880,000 rows that can be used for a binary sentiment analysis task.The original data (without prompts) comes from the dataset amazon_reviews_multi by Keung et al. where only the French part has been kept.A list of prompts (see below) was then applied in order to build the input and target columns and… See the full description on the dataset page: https://huggingface.co/datasets/CATIE-AQ/amazon_reviews_multi_fr_prompt_sentiment_analysis.texttext-classification1M<n<10M0 likes56 downloads1y agoHugging Face03ebrigham /multi_sentiment0 likes37 downloads5y agoHugging Face04JSSICE /Multi-Domain-Sentiment-DatasetUsing it for assessment. Dataset for Multi Domain (Including Kitchen, Books, DVDs, and Electronics) Multi-Domain Sentiment Dataset by John Blitzer, Mark Dredze, Fernando Pereira. Description: The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from 4 product types (domains): Kitchen, Books, DVDs, and Electronics. Each domain has several thousand reviews, but the exact number varies by domain. Reviews contain star ratings (1 to 5 stars) that… See the full description on the dataset page: https://huggingface.co/datasets/JSSICE/Multi-Domain-Sentiment-Dataset.textn<1K0 likes34 downloads4y agoHugging Face05Lots-of-LoRAs /task1575_amazon_reviews_multi_sentiment_classification Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1575_amazon_reviews_multi_sentiment_classification Additional Information Citation Information The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it: @misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions, title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification.texttext-generationn<1K0 likes29 downloads2y agoHugging Face06supergoose /flan_combined_task1575_amazon_reviews_multi_sentiment_classificationtextn<1K0 likes10 downloads2y agoHugging Face07pogpog /dataset-sentiments-multi-label-synthtextn<1K0 likes6 downloads1y agoHugging Face08katossky /multi-domain-sentiment-bookstext1K<n<10K0 likes5 downloads4y agoHugging Face09french-datasets /Lots-of-LoRAs_task1575_amazon_reviews_multi_sentiment_classificationCe répertoire est vide, il a été créé pour améliorer le référencement du jeu de données Lots-of-LoRAs/task1575_amazon_reviews_multi_sentiment_classification. text-classification0 likes4 downloads1y agoHugging Face10french-datasets /supergoose_flan_combined_task1575_amazon_reviews_multi_sentiment_classificationCe répertoire est vide, il a été créé pour améliorer le référencement du jeu de données supergoose/flan_combined_task1575_amazon_reviews_multi_sentiment_classification. text-classification0 likes3 downloads1y agoHugging Face11Tasfiya025 /Multi-Modal_Sentiment_Analysis_in_E-commercetabularn<1K0 likes3 downloads9mo agoHugging Face

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