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Bertweet Base SNS BRANDS 50k
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Bertweet Base SNS BRANDS 50k

Developed by haji2438
A sentiment analysis model fine-tuned on social media brand datasets based on BERTweet
Large Language Model
Transformers
#Social Media Brand Analysis#Portuguese NLP#Fine-tuned BERTweet
Downloads 31
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version based on the BERTweet-base architecture, specifically optimized for brand-related content on social media, suitable for natural language processing tasks such as sentiment analysis.

Model Features

Social Media Optimization
Fine-tuned specifically for the characteristics of social media text, better handling informal language and brand-related content
Efficient Fine-tuning
Fine-tuned on a dataset of 50k scale, balancing training efficiency and model performance
Stable Training
Adopts linear learning rate scheduling and warm-up strategies for stable convergence during training

Model Capabilities

Text Classification
Sentiment Analysis
Brand-related Content Understanding

Use Cases

Social Media Analysis
Brand Sentiment Monitoring
Analyze user evaluations and sentiment tendencies toward specific brands on social media
Validation loss 0.0490, good performance
Marketing Effectiveness Evaluation
Assess user feedback on marketing campaigns on social media
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