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GIST Embedding V0

Developed by avsolatorio
GIST-Embedding-v0 is a sentence embedding model based on sentence-transformers, mainly used for sentence similarity calculation and feature extraction tasks.
Downloads 252.21k
Release Time : 4/25/2025

Model Overview

This model can convert sentences into high-dimensional vector representations and is suitable for various natural language processing tasks, such as sentence similarity calculation, text classification, and information retrieval.

Model Features

High-performance sentence embedding
Performs excellently in multiple benchmark tests and can accurately capture sentence semantics.
Multi-functional application
Supports multiple natural language processing tasks, including classification, clustering, retrieval, etc.
Efficient feature extraction
Can quickly convert sentences into high-dimensional vectors for subsequent processing and analysis.

Model Capabilities

Sentence similarity calculation
Text classification
Information retrieval
Text clustering
Feature extraction

Use Cases

E-commerce
Product review classification
Used for sentiment analysis (positive/negative) of Amazon product reviews.
Accuracy: 93.51%
Counterfactual review detection
Identify counterfactual reviews on the Amazon platform.
Accuracy: 75.96%
Academic research
Paper clustering
Perform topic clustering on academic papers from arXiv and biorxiv.
v_measure: 42.74 - 48.29
Question answering system
Duplicate question identification
Identify duplicate technical questions in the AskUbuntu community.
mrr: 75.46
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