AI Neural Network
Modern Architecture
Abstract Light
AI-Powered NLP Platform

KORA

KORA is a proprietary AI/NLP platform that understands the language and context of K-POP fandom. Sentiment analysis, keyword extraction, translation, and moderation — all in one engine.

KORA AI Lab
INTELLIGENCE
K-POP Fandom Language Engine
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Overview

Engine Specialized in Fandom Language

Analyze data with AI that understands fandom context — not just translation.

Auto Routing
0+
Languages Supported
ONNX Runtime
~0ms
Inference Speed
Language-Specific
0
Proprietary NLP Models
Cost Optimized
0%+
API Cost Savings
PIPELINE

AI Pipeline Flow

Fandom data is refined as it sequentially passes through AI modules

MODULE 01
Sentiment Analysis

Sentiment Analysis

Precise positive/negative detection with simultaneous ABSA-based 6-dimension analysis

ABSAReal-time6-Dimension
MODULE 02
Keyword Extraction

Keyword Extraction

Morpheme-based key keyword extraction and automatic category mapping

13-CategoryAuto-MappingMorpheme
MODULE 03
Fandom Translation

Fandom Translation

Natural multilingual translation with K-POP specialized glossary injection

GlossaryHybridK-POP
MODULE 04
Content Moderation

Moderation

Precise harmful content filtering and spam blocking via shared encoder

Harmful ContentSpam FilterShared Encoder
TECHNOLOGY

Fandom Language Specialized Engine

Multilingual NLP Infrastructure Optimized for K-pop Fandom Conversations

10~25ms
ULTRA-FAST INFERENCE
Real-time ONNX Runtime Processing
0+
LANGUAGE ROUTING
Auto Language Detection & Routing
0%+
COST OPTIMIZATION
Minimize External API Dependency
Weekly
CONTINUOUS LEARNING
Weekly Automated Pipeline Learning
AI MODEL SYSTEM

Real-time inference infrastructure

Active
Syncing
4 Models
Korean
K-Fandom ELECTRA
K-pop Mecab · 180M
~8ms
English
Fandom RoBERTa
spaCy · 125M
~12ms
Japanese
J-Fandom BERT
MeCab+UniDic · 110M
~15ms
Multilingual
Fandom XLM-R
SentencePiece · 550M
~25ms
CAPABILITIES

AI Service Details

Explore the real-time analysis capabilities and tech specs of each AI module.

Sentiment AI
01

Sentiment AI

Emotion & Sentiment Intelligence

Simultaneously analyzes 6 sub-categories (Dance, Vocal, Performance, Visual, etc.) based on ABSA to understand fan emotions in real-time.

Supported Models

KcELECTRA (110M), RoBERTa-base (125M)

Tokenizers

Mecab-ko, spaCy

Technical Description

ABSA-based 6 sub-category simultaneous analysis

ABSA6-CategoryReal-time
Real-time AI Analysis
INPUT
"This stage was legendary"
AI RESULT
Positive
94%
Excitement
HIGH
Performance
0.91
Visual
0.88
Processing: 0ms • ONNX Runtime