Bert Base Multilingual Uncased Sentiment

nlptown

bert-base-multilingual-uncased-sentiment

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.

Use cases

The bert-base-multilingual-uncased-sentiment model has a wide range of possible use cases in various domains. In the field of customer service, it can be utilized to analyze customer feedback and sentiment in different languages, helping businesses improve their products and services based on customer sentiments. In social media analysis, this model can automatically classify social media posts and comments to determine the overall sentiment of a particular topic or event. This can be useful for monitoring public opinion, sentiment analysis in market research, and tracking the success of marketing campaigns. Additionally, in the field of content moderation, the model can detect potentially harmful or offensive content by analyzing the sentiment of the text, allowing platforms to proactively remove such content. In terms of product development, this model can be integrated into chatbots or virtual assistants to provide more personalized responses by understanding the sentiment behind user inputs. Overall, the bert-base-multilingual-uncased-sentiment model has the potential to enhance various applications where understanding and analyzing sentiment in multiple languages is crucial.

text-classification

Pricing

Cost per run
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Avg run time
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Hardware
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Prediction

Creator Models

ModelCostRuns
Flaubert_small_cased_sentiment$?39,664

Similar Models

Try it!

You can use this area to play around with demo applications that incorporate the Bert Base Multilingual Uncased Sentiment model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Overview

Summary of this model and related resources.

PropertyValue
Creatornlptown
Model NameBert Base Multilingual Uncased Sentiment
Description
Platform did not provide a description for this model.
Tagstext-classification
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

Popularity

How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?

PropertyValue
Runs5,346,808
Model Rank
Creator Rank

Cost

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PropertyValue
Cost per Run$-
Prediction Hardware-
Average Completion Time-