Open-source Model of datatager_E-Commerce_review_extraction - Accurately Extract Keywords and Core Views from E-commerce Reviews

Datatager E Commerce Review Extraction

Developed by pandalla

This model is specifically designed for extracting keywords and core opinions from e-commerce comments, trained on 5,000 Taobao reviews.

Text Classification

Transformers

ChineseOpen Source License:Apache-2.0 #E-commerce Comment Analysis #Automatic Keyword Extraction #Multi-dimensional Sentiment Analysis

Downloads 21

Release Time : 6/25/2023

Model Overview

The model can automatically extract keywords and core opinions from user comments on e-commerce platforms, helping to quickly understand user feedback.

Model Features

E-commerce Comment Analysis

Optimized specifically for e-commerce platform comments, accurately extracting product-related keywords and user opinions.

Multi-dimensional Opinion Extraction

Not only extracts simple sentiment tendencies but also identifies specific user evaluations of various product features.

High-quality Training Data

Training data was initially annotated by GPT-4 and manually cleaned to ensure data quality.

Model Capabilities

Text Classification

Keyword Extraction

Sentiment Analysis

Opinion Mining

Use Cases

E-commerce Analysis

Product Review Analysis

Analyze product reviews to extract user concerns and satisfaction levels

Keywords such as 'fake product' and 'poor packaging quality' as shown in the example

Service Quality Monitoring

Identify service issues from comments

Keywords such as 'expensive price' and 'poor service' as extracted in the example

Market Research

Competitor Analysis

Compare the strengths and weaknesses of similar products through user comments

Comparison information such as 'not as good as La Mer essence water at the same price' as shown in the example

Original Sentence	Keywords
It's good!!!	Good, worth recommending, cost-effective
This is the second bottle. I even suspect if I bought a fake. The packaging has changed, and the new one feels quite cheap. It makes my skin greasy after use. The first bottle made my skin feel refreshing, so I repurchased it. But unexpectedly, the second bottle is completely different from the first one. It even causes acne. It's greasy! Whether it's fake or not, I won't repurchase it.	Fake, cheap packaging texture, greasy, acne, won't repurchase
I bought two packages at 50 each. Don't they even give a decent scoop?	Expensive, speechless
Packaging quality: good; Product smell: ordinary fragrance; Usage effect: average. At the same price, it's not as good as La Mer essence water...	Good packaging quality, ordinary fragrance, average usage effect, not as good as La Mer essence water

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Datatager E Commerce Review Extraction

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 CommentOpinionExtract

🚀 Quick Start

✨ Features

📦 Installation

💻 Usage Examples

📚 Documentation

Dataset

Result

📄 License