BERT-base-uncased-reviews-128 Open-source Text Classification Model

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Bert Base Uncased Reviews 128

Developed by abhilashawasthi

A fine-tuned version of the bert-base-uncased model on a review dataset, suitable for text classification tasks.

Large Language Model

Transformers

Open Source License:Apache-2.0 #Text Sentiment Analysis #BERT Fine-tuning #Review Classification

Downloads 19

Release Time : 5/5/2022

Model Overview

This model is a fine-tuned version of the BERT base model on a review dataset, primarily used for text classification tasks such as sentiment analysis.

Model Features

Based on BERT Architecture

Utilizes the BERT base architecture with strong text comprehension capabilities.

Fine-tuned on Review Data

Fine-tuned on a review dataset, making it particularly suitable for review-related text classification tasks.

Apache 2.0 License

Released under the Apache 2.0 open-source license, allowing for commercial use.

Model Capabilities

Text Classification

Sentiment Analysis

Review Understanding

Use Cases

Sentiment Analysis

Product Review Sentiment Analysis

Analyze the sentiment tendency of user reviews on products

Can accurately classify reviews as positive, negative, or neutral

Content Classification

Review Content Classification

Classify user reviews into different thematic categories

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Bert Base Uncased Reviews 128

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 bert-base-uncased-reviews-128

🚀 Quick Start

📚 Documentation

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

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📄 License