Rubert Base Cased Sentiment Rurewiews
A sentiment analysis model based on DeepPavlov/rubert-base-cased-conversational architecture, trained on the RuReviews dataset for sentiment classification of Russian product reviews.
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Release Time : 3/2/2022
Model Overview
This model is specifically designed for sentiment analysis of Russian product reviews, capable of classifying reviews into three sentiment categories: positive, neutral, or negative.
Model Features
Russian sentiment analysis
Specifically designed for sentiment analysis of Russian product reviews
Three-class model
Capable of classifying reviews into positive, neutral, or negative sentiment categories
Based on RuBERT architecture
Built on the powerful Russian BERT model architecture with excellent semantic understanding capabilities
Model Capabilities
Russian text classification
Sentiment analysis
Product review analysis
Use Cases
E-commerce
Product review sentiment analysis
Analyze the sentiment tendencies of user reviews for products on e-commerce platforms
Automatically identify product strengths and weaknesses to help merchants improve products
Market research
Consumer sentiment monitoring
Monitor changes in consumer sentiment towards specific products or brands
Provide data support for market strategies
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