bert base multilingual uncased sentiment Visit the NLP Town website for an updated version of this model, with a 40% error reduction on product reviews. This is a bert base multilingual uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish, and Italian. It predicts the sentiment of the review as a number of stars (between 1 and 5). This model is intended for direct use as a sentiment analysis model for product reviews in any of the six languages above or for further finetuning on related sentiment analysis tasks. Training data Here is the number of product reviews we used for finetuning the model: Language Number of reviews English 150k Dutch 80k German 137k French 140k Italian 72k Spanish 50k Accuracy The fine tuned model obtained the following accuracy on 5,000 held out product reviews in each of the languages: Accuracy (exact) is the exact match for 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. Language Accuracy (exact) Accuracy (off by 1) English 67% 95% Dutch 57% 93% Ger…
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