Bigdata·AI Leader of Bigdata Technology with Human-friendly AI

TEXTOM AI

TEXTOM is an artificial intelligence platform understanding situations and emotions and seeks for valuable information.
You can apply TEXTOM to any sector with any purpose.

Modules for AI service implementation

- Construction and operation of Hadoop-based platform for data collection and storage to process structured and unstructured data

The IMC’s AI engines

- STT, Word embedding, NLU, Sentiment analysis, Document classification, Chatbot, IRQA, Machine learning, Data mining, SNA,
and Predictive Analytics

Module construction
Module construction
TEXTOM is a general-purpose AI platform able to apply to various domains. It is mainly applied to VA, call centers, finance, manufacture and education sectors

- AI virtual assistants, call center data, classification, agriculture data analysis and prediction and data-driven decision making for professionals

Textom AI
Textom AI
AI Product/Solution, Service
AI Product/Solution, Service
Training Datasets for Each Modules

- Through continuous machine learning, all solutions and products of The IMC keeps progressing itself.

Secure a large amount of machine learning data per applications to various sectors
Secure a large amount of machine learning data per applications to various sectors
활용분야
활용분야

AI applied case

Develop and provide services in various fields on the basis of AI technology.

컬러풀대구
Civil Complaints Prediction Service

Collect voice data, civil affair data and manuals that Daegu city has secured.

  • Civil Affairs Data Collection Collect voice data, civil affair data and manuals that Daegu city has secured
  • Data Analysis and Storage Understand the current state of civil affairs through statistical analysis of collected data
  • Search and Automated Answering Understand the current state of civil affairs through statistical analysis of collected data
농림축산식품부
Intelligent Vegetable Demand Prediction System

Promote stable supply and demand of vegetables by providing customized service in terms of labor saving,
management effectiveness Provide customized service in terms of labor saving, management effectiveness to
promote stable supply and demand of vegetables by integrating all the information on production distribution,
observation, weather/climate, blight damage, foreign supply/demand, POS data, etc.

  • Public/Civil Bigdata Analysis Collect information on production distribution, observation, weather/ climate, blight damage, POS data, etc
  • Demand prediction for vegetables Develop prediction model considering both macroeconomics view and short term change factors such as climate changes, blight damage occurrence, consumption trend, supply/demand changes, etc
  • Enhance management effectiveness and stable supply/demand Analyze the accuracy and suitability of related government department like Statistical Office, Ministry for Food and Agriculture, Farm Service Agency, Korea Rural Economic Institute, etc., and suggest better plans
교통사고예보서비스
AI-Based Traffic Safety Prediction Service

Predict traffic accidents by analyzing real time traffic data, public data, web&SNS data, TAAS
(Traffic Accident Analysis System), etc. and broadcast traffic accident prediction program through traffic
broadcasting network, web and smart phones.

  • Data Mining Collect traffic accident statistics, traffic tip-off from citizens, traffic information of Daegu city, weather information, social network service data, etc.
  • Traffic Accident Prediction Model Apply text mining to collected data to analyze accident pattern → visualize highly relative data
  • Increase Management Effectiveness and Demand/Supply Stability Detect danger signs by using traffic big data and support rapid decision making
대구테크노파크
Firefighting & Safety Prediction Service

GIS based accident prediction by integrating the information data from fire defense headquarter, rescue activity
of ministry of public safety and security, weather, civil affairs with LTE data such as transient population, etc.

  • Collect Fire Safety Data Fire Defense Headquarter,
    Ministry of Public Safety and
    Security, Meteorological
    Administration, Road Traffic
    Authority, web, LTE data
  • Accident Prediction Model Structured data
    (Statistical Analysis/Machine
    Learning, danger index by region)
    Unstructured data
    (Text mining)
  • GIS Based Visualization
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