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The bert-base-multilingual-uncased-sentiment model is a text classification model that uses the BERT architecture. It is trained on a multilingual dataset and is designed to predict the sentiment of a given text. The model is capable of understanding text in multiple languages and can classify it into different sentiment categories such as positive, negative, or neutral.


	
		
	
	
		flaubert_small_cased_sentiment
	


This is a flaubert_small_cased model finetuned for sentiment analysis on product reviews in French. It predicts the sentiment of the review, from very_negative (1 star) to very_positive (5 stars).

This model is intended for direct use as a sentiment analysis model for French product reviews, or for further finetuning on related sentiment analysis tasks.


	
		
	
	
		Training data
	


The training data consists of the French portion of amazon_reviews_multi, supplemented with another 140,000 similar reviews.


	
		
	
	
		Accuracy
	


The finetuned model was evaluated on the French test set of amazon_reviews_multi.


Accuracy (exact) is the exact match on the number of stars.
Accuracy (off-by-1) is the percentage of reviews where the number of stars the model predicts differs by a maximum of 1 from the number given by the human reviewer.



	
		
	
	
		Contact
	


NLP Town offers a suite of sentiment models for a wide range of languages, including an improved multilingual model through RapidAPI. 

Feel free to contact us for questions, feedback and/or requests for similar models.



The flaubert_small_cased_sentiment model is a sentiment analysis model that has been finetuned on product reviews in French. It predicts the sentiment of a review, ranging from very negative (1 star) to very positive (5 stars). The model has been trained on a combination of the French portion of amazon_reviews_multi dataset and additional similar reviews. The accuracy of the model has been evaluated on the French test set of amazon_reviews_multi, with metrics including exact match accuracy and accuracy within one star. This model can be used as is for sentiment analysis of French product reviews, or can be further finetuned for related sentiment analysis tasks.

Nlptown

Models by this creator

bert-base-multilingual-uncased-sentiment

flaubert_small_cased_sentiment

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