Minds insight service_introduction_v1.0

Big data Analytics Web Platform Service
September 2015
Big Data & Machine Learning

Big data Analytics Web Platform Service
Intro of Minds Insight Service
My Biz.
M.I. (Market Intelligence)
Search
News
Tailored Service
Contents

Social Media & Big Data
15+ million new postings, 60+ new blogs
60
100,000+ tweets
700,000+ updates
600+ new videos
more and more
IN
SECONDS

Many companies face problems
processing internal data
Limitation of system, limitation of knowledge
Survey of Global Companies with a year
revenue of over 10 Billion Dollar
<Research Service FT Remark of Financial Times Group 2013.08>
Revealed 84% of them Said,
Data Analysis is Critical for Business Management!
96% of them said,
Big Data Analysis is the Only Answer

Social Media is a place where you can listen to honest and vivid voice of
Consumers
You can find many reliable conversations from social web. Collecting, Sorting, and Understanding their thoughts,
Actions, desires, you can create a broader brand worth and awareness.
Why?
Why Social Media & Big Data?
From Social Media, you can find diverse opinions on your company.
It is critical to gather these information since these online
Conversations impact how people view your company

Big Data Analytics Platform service provides real time data analysis and visualization.
Advertisement agencies, C-Suite Management, Marketing/Account Executives, Media Companies are our main clients.
Clients
Company/Ad Agency/Consulting Firm
Membership Registration
Real-Time Big Data Analysis Through
Minds Insight Web Platform
Providing Custom-Tailored Big
Data Analysis Service
• Minds Insight Web Platform for
Members
• Market Intelligence
• Real-Time Keyword Search Analysis
• Risk Alert
• Document Analysis
Big Data Analytics Platform Service
Service Introduction

We collect, process, analyze data from social media as well as various medial channels using professional insight manufacturing cycle to help your
business succeed through our various feedback processes such as Product/Service Innovation, Marketing & Consulting Strategy, Early Reputation
Diagnosis/Defense, and Real-Time News/Event Monitoring
Service Introduction
Big Data Mining
Average Total 400+M
·Blog (10+ million)
·Twitter (400+ million)
·News (5+ million)
·External Data
- Product Review Website
- Forum/Community/Cafe
- Certain Social/Web Data
+
·Internal Data
- Various VOC
- Transaction DB
- Buyer/Member DB
+
Analysis &
Insight Generation
Big Data Analytics Platform
·Big Data Analysis & Issue
Extraction
·Data Visualization
·Insight Generation by Field
·Documentation & Reporting
Business Benefits
Realization
Information analysis
Web/App service
·Marketing & Consulting
Big Data Driven
Strategy Service
·Product/Service
Innovation
Product R&D
Service Innovation
·Early Warning/Alert
Reputation Alert
·Customer Service
Response Innovation
Reputation Alert
·News/Event/Influencer
Live Monitoring

<Log in _ Main Page>
Once you log into our Minds Insight website, you can view a main screen dashboard consisting of analyzed information for your company in a
brief format in which you can monitor trends.
.

MY BIZ.
Based on core keywords, you can identify what consumers are saying about your company, consumer awareness and interest of your company,
top ranked social media influencers, sentimental analysis of consumers, main events hosted by your company or competitors as well as real-time
risk detection search management to help you respond quickly to potential risks.
1. Keyword Analysis
■Analysis of your preconfigured keywords
■View Keyword Frequency Trend by Date/Time
■Filter Your Analysis by News, Blog, Twitter
■Analyze Competitors Through Keywords used by consumers
■Download Excel Documents of Your Analysis
■View Original Documents
What are people talking about?

MY BIZ.
2. Sentimental Analysis
■Analyze Sentiments Associated with Keywords
■Perceive Overall Sentiment Associated with Keywords
Sentimental Analysis of Keywords

MY BIZ.
■Identify Particular Sentiments of Key Words
■Compare Different Sentiments Associated with Keywords
Identify the origins of particular sentiments

MY BIZ.
■View Consumer’s Particular Sentiment Frequency Trend
■Identify the origins of positive/negative sentiments
Frequency Trend of Sentimental Analysis

MY BIZ.
3. Event
■Event History Related to Your Brand
■Find Out About Main Competitor’s Events
■View Original Briefs for Each Event
■View Event-Related Original Documents (News)
Weekly/Monthly Event History

MY BIZ.
4. Influencers
■Influencers of Your Brand Reputation Provided By Rank
■Analyze Genuine Influencers to Identify Their Interests, Target Consumers
for Marketing Purpose.
■Identify Trends of Competitor Influencers By Date
■View Twitter Ranking, No. of Followers, Total No. of Tweets of Influencers
■View the Actual Tweets of Influencers By Rank
Who is Influencing Your Brand Reputation

MY BIZ.
5. Related Keyword Analysis
■View Brand-specific related keywords to analyze Consumer Awareness
Mind Map
■Categorized by 15 different categories to narrow your search
■Analysis of Related Keywords and Its Relevance
■Effective Analysis of your competitors through related keyword analysis
■3 step in-Depth Analysis to analyze consumer awareness mind map
Consumer Awareness Mind Map Per Keyword

MY BIZ.
6. Risk Detection
■Risk Detection/Monitoring Provided for Brand-Specific Core Keywords
■Effectively Respond to Risk Issues using Risk Detection by date/time
■Risk Detection based on Core Keywords as well as Keyword Frequency
■View Original Documents from Twitter, News, Blog by Risk Issues
■Effectively Compare and Analyze Risk Issues by Monitoring Your competitors’ Risk
Issues
■ Once the risk is detected, Receive Real-Time Alert from Minds Insight Mobile
App/Web to Respond Effectively to the Risk.
Real-Time Risk Monitoring and Response Management!
ALERT
Minds Insight Risk
Detection
Risk Alert System
Immediate Risk Analysis and Response
per Issue
Original Document Available
For each Data Channel

Market Intelligence provides an in-depth market analysis through industry specific consulting insight and analysis of industry specific keywords.
With complete analyses of 25 different industries in our database, it helps you create market strategy and realize data driven marketing.
1. Analysis of Competition Relations
■Identify your main competitors in your industry
■Current Competition Composition and Frequency Trend Provided
by Date/Time
■Analyze Consumer Perception of Competing Companies
Main competitors people are talking about
경쟁 빈도
■More competition there is between two companies. More red the
color. Shows most actively discussed Competition by people.

2. Industry Trend Analysis
■Determine Consumer Awareness of Your Company Based on
Company Information
■Analysis of Industrial Key Words, Purchasing Channel Distribution,
Purchasing Channel mention Frequency Trend, Brand Sentiment.
■Easily Identify your industry’s specific trends by analyzing your
industry specific keywords.
■Develop Marketing Strategies by utilizing consumer awareness
analysis of your company
Where Are We Ranked In our
Industry?<Industry Product Trend Analysis>

2. Industry Trend Analysis
<Industry Keywords>
<Consumer Channel Mention Frequency
Distribution Trend>
<Consumer Channel Trend>
<Consumer Channel Weight Distribution ><Brand Sentiment>
<Industrial Issue Trend – Frequency of
Product Mentioned
■ Company product related key word ranking and relation
frequency
■Comparison of Consumer Sentiments between different
companies and products
■Strengthening of Marketing/Distribution Strategy Through
Trend in consumer channel keyword Mentioned
■Identify Consumption Pattern through Product Consumer
Channel Frequency Analysis
■Strengthening of Marketing/Distribution Strategy Through trend
in distribution of keywords mentioned
■Strengthening core Product Selection through analyzing related
product mentions

3. Client Configuration Analysis
■Identify gender proportion of your consumer base for your
product through product mentions
Consumer Base Configuration

4. Company Reputation Analysis
■Through Company and industry specific keywords, identify
strengths and weaknesses of your company and product to
create a better marketing strategy
■Multidimensional Reputation Analysis of Brand Effectiveness,
Brand Reliability, and Brand Product Image
Strengths and Weaknesses and Company
Image from Consumer Perspective
<Brand Reliability
Analysis>
<Brand Product Image
Analysis>

SEARCH
1. Keyword Search
■Through Company and industry specific keywords, identify strengths and
weaknesses of your company and product to create a better marketing
strategy
■Multidimensional Reputation Analysis of Brand Effectiveness, Brand
Reliability, and Brand Product Image
Read Market Trend from Real Time Keyword
search and analysis
Unlike My Biz where it is pre configured with company specific key words, Minds Insight allows users to search any keyword real-time for
analysis. It allows users to identify a broader consumer awareness analysis as well as sentimental analysis, influencer, and related keywords..

SEARCH
2. Influencer
■Real time analysis of particular sentiments
■Identify origins of particular
■View Original Documents to understand where the
sentiments are originating from
■Real Time Influencer Analysis By Ranking

SEARCH
4. Event
■Search Related Topics Real Time
■View original documents containing related topics
5. Related Keyword Analysis
■Daily/Monthly Related Event Analysis
6. Related Topics
■Real time related keyword analysis
■Identify market relations through 3-depth
Related keyword analysis
■Sort through 15 different related keyword
categories.

NEWS
■Real time monitoring of company specific hot topics
■Real time monitoring of industry specific hot topics
■All the hot topics from Social Media
■Increased work efficiency through viewing visual and audio trend.
■View Original Documents containing hot topics
Identify Related Hot Topics Real Time
News service provides big data driven analysis of hot topics. In “My News”, you can view company-specific topics. In “Industry News, you can
identify hot topics in your industry. In “Issue Briefing, you can view all the hot topics in social media. Lastly, in “Trending Reporting”, You can
view visual and audio data trend as well as sentimental analysis of news.
My News
Industrial News
Issue Briefing
Trending Report

TAILORED SERVICES
MINDS Insight offers big data analysis of web & app data as well as big data platforms custom-tailored for your company and industry.
The platforms will provide a strategic analysis tailored for media information, and in-depth market analysis & consulting.
Distinguish your brand and company through customized big data analysis!
■Customized Platform& VOC Analysis Service
■Big Data Driven Communication Report
·Communication Guide Report
·Campaign Evaluation Report
■Consulting
·Big Data Analysis Consulting
·Trend/Brand/Marketing Consulting
■Media Analytics
·Big Data Analysis Consulting
·Trend/Brand/Marketing Consulting
■Date Feeding (Processing)
·Analyzed Information
·Original Documents on Brand/Trend

Key Technologies used in MINDs InsightsAppendix

Key Technologies used in MINDs Insights
Natural Language Process
Morpheme
Analysis
Split the collected document into the most meaningful units called Morpheme
신한/nc+은행/nc+이/jc 인터넷/nc+을/jc 통하/pv+어/ec 중도금/nc 대출/nc 서류/nc 작성/nc+을/jc
편리/nc+하/xsm+게/ec 하/px+ㄹ/etm 수/nb 있/pa+는/etm 서비스/nc+를/jc 마련/nc+하/xsv+었/ep+다/ef
Separate the collected documents to the text sentence by using sentence separation
model based on machine learning.
“신한은행이 인터넷을 통해 중도금대출 서류 작성을 편리하게 할 수 있는 서비스를 마련했다”
“복잡한 중도금대출을 온라인으로 신청·접수할 수 있는 중도금대출 온라인 신청 서비스를 시행한다고 25일
밝혔다”
Recognize the named entity included in the statement character, company name, place
<<OGG_Economy:신한/nc+은행/nc>>+이/jc 인터넷/nc+을/jc 통하/pv+어/ec 중도금/nc 대출/nc 서류/nc
작성/nc+을/jc 편리/nc+하/xsm+게/ec 하/px+ㄹ/etm 수/nb 있/pa+는/etm 서비스/nc+를/jc
마련/nc+하/xsv+었/ep+다/ef
Syntax
Analysis
Distinguish the relation modification sentence structure in the sentence by verb, object,
subject.
((((((신한은행이/NP_SBJ 인터넷을/NP_OBJ 통해)/VP (((중도금/NP 대출)/NP 서류)/NP 작성을)/NP_OBJ
편리하게/VP_AJT 할)/VP_MOD 수)/NP_SBJ 있는)/VP_MOD 서비스를)/NP_OBJ 마련했다)/ROOT
Divide
Sentence
Entity
Recognition
1
2
3
4
Strong Point
 Language of ETRI developed
based on a variety of language
processing technology in
University Institute and Know-
How Reflects
 Provide 170 classification of
named entity recognition
capabilities
 Across each phase, apply a
pre-processing /post
processing for dictionary and
rules. Effectively respond to
new words and also applicable
for treatment.

Text Mining Process
Related Word
Analysis
The Frequency analysis whether the vocabulary emerges with other vocabulary
Vocabulary analyze whether the appearance at the same time as any other words in the
sentence or document. Also aligned along a vocabulary that emerged in the types of
objects and occurrences
It is detectable in significant words by weighting (Weight) for the time series by key
words
Location of vocabulary (title / position within the body), in accordance with the
direction of propagation channel characteristics, such as appearance frequency and
persistence on the time series of vocabulary and vocabulary importance in determining
the quality lexical priority to a specific period of time
The sentence on the basis of emotional expression patterns within the text analyzes the
opinion that the meaning of the positive / negative or neutral.
Based on machine learning on a large emotional tagged corpus automatically learns the
pattern weights pattern and emotion. Based on this and identify 20 kinds of positive /
negative emotional details.
Event/ Risk
Analysis
Detect an event associated with a particular event in the document. It analyzes the
relationship between.
Product launches, enterprise mergers, earnings, extracts of important events based on
events related templates and sentence syntax analysis and legal regulations.
Vocabulary
Importance
Analysis
Sentimental
Analysis
1
2
3
4
Features
 Advanced text mining
application of ETRI technology
 Strength in unstructured
documents such as social
media analysis or phone
consultation included short
and epitaph
 It provides scalability, and
reliability for the large
amounts of text data
 Details Emotion, Risk
detection, monitoring, and
detection issues provides a
variety of information, against
competitors
 In addition to emotional
intensity frequency, language
severity provides quantifiable
informationIssue Cluster
Analysis
Divided into groups of documents having a similar meaning a large amount of
documents containing a specific keyword
Extract all the important keywords in the document, and the keywords based on the
similarity distance between populations separated by a similar document meant. The
screen labeled a keyword representing the groups.
5

Risk Detection and Monitoring
31
Risk Detection Model
Risk Detection
Risk
Monitoring and
Utilization
Learning target
document
selection
Learning Objective
Generating
information
Learning Verification
Pattern candidate
selection
Verification Pattern Model
Original Collection
/ pre-treatment
Language Analysis
Sentimental
Analysis
Risk Qualification
Extraction
Risk Detection
Risk
Qualification
DB
Risk Type DB
Risk History DB
 Events qualities
 Frequency qualities
 Emotional qualities
 Propagation qualities
 Life-cycle qualifications
 Sentence detection
 Stemming
 Named entity
recognition
 Compound nouns
recognition
 Dependent parsing
 Relationship
 Spam Filtering
 Adult Product filtering
 Replacement Filtering
 Emotional vocabulary
extraction
 Give emotional strength
Summary of the
situation
Monitoring
History
Management
Utilization
 Risk destination
 Risk events / reasons
 Emotional Spectrum
 The frequency trends
 frequency
 Emotional Spectrum
 Distributed network
 Spread by the media
 Self-learning
 Case Based
 Search
 Alert
Learning Model

Risk Detection and Monitoring
Agency /
company
Conflict, competition, legal actions, court decisions,
negative public opinion, lawsuits, protests against the
law, information disclosure, sanctions, investigations,
etc.
Person
Conflict, poor health, competition, legal actions, court
decisions, negative public opinion, resignation requests,
lawsuits, protests against the law, information
disclosure, investigation, disciplinary action
Smart
Device
Prices, defect, competition, negative public opinion,
unlawful conduct, information disclosure, sanctions,
sales decline
Food
Prices, price declines, recall, negative public opinion,
boycotts, illegal activity, hazardous products, sanctions,
sales decline
Car
Prices, defect, competition, recall, negative public
opinion, sales decline
… …
▶ Risk Domain and Risk example
▶ Risk detection example
Original Document
xx Electronics recorded an “Earning shock” quarterly earning of 8 billion
dollar in 4th quarter, 18.31% decrease from the previous quarter.
Extracted Risk Qualifies
[xx Electronics]-[Operation Profit-Reduction]-[Crisis Management]
[xx Electronics]-[Earning Shock]-[Crisis Management]
Global Credit Audit Company Moody’s lowered xx Electronics credit
rating.
[xx Electronics]-[Credit rating - drop]-[Crisis Management]
Last month xx Motor Company sold 413 Thousand cars (.3% decrease
from last January), and oo Motor company solid 257 thousand cars
(1.3% decrease) in Foreign market.
[xx Vehicle]-[Sales decreased]-[Sales decreased]
[oo Vehicle]-[Sales decreased]-[Sales decreased]

Natural Language Process
Frequency Trend Original Document
Detection Keyword: Galaxy
Risk Alert

Issue Detection
Event Extraction Technology Example for Hot Issue Visualization
M
o
d
u
l
e
NLP
Importance
Analysis
Sentimental
Analysis
Features
 High-precision processing on the target
document language
 Sentence separation, morphological
analysis, entity recognition
 The location of Keywords information
and the channel between the
propagation direction, change the
threshold value, the sensitivity analysis
by the frequency of the frequency of
persistence of keywords
 The sensitivity analysis for the keyword
within that period whether positive or
negative
Automatically detect the relevant keyword in every
given data source
Analyze not only simple frequency, but also the inlet
channel keywords, identify keywords such as
location and significance
Object type, emotional, importance of the detected
keywords are provided

Event Extraction
Event Extraction Technology Example for event visualization
Features
Define an event in the subject (Subject), type of
event (Event-Property), objects (Object) that consist
of a set of triple templates (Triple)
Mergers and acquisitions, investments, earnings,
legal regulations based on the events of 31 event
Template, extract and recognize subject / object
associated with the event and the event

Sentimental Analysis
Details sensibility analysis technique Details sensibility visualization examples
features
Recognizing the sensitivity to the sentence units, nine
kinds of positive emotions (self-confidence / touching /
appreciation / anticipation / liking / joy / relief / trust /
line) and 11 kinds of negative emotions (fear / anger /
dislike / sadness / disappointment / shame / difficult /
sorry / envy / opposition / suspect) awareness
Based on statistics from the bulk of Emotional tagged
sentences, it automatically learns a variety of
emotional patterns and weight
자동 추출된 감성 패턴 예시

Related keyword analysis
Related-word analysis skills Related word visualization examples
Features
At the same time it extracts a set of keywords or a
document which appeared in the same sentence,
and thus can be selected depending on the type of
object for the associated control
Stores the associated secondary control
information, management can also help you get
information about the associated verb.
Morpheme
Analysis
Entity
Recognition
Extract related
word in unit
sentence
Extract
related work
in unit
Document
Extract 2nd
related word

Content-based auto-classification
Automatic content-based classification technology Content-based automatic classification example
a1
a2
a3
b3
b1
b2c1
c3
c2
a1 b2 b3
<Deposit> <Loan> < Foreign Exchange >
a11 a12 …
MINDs Classifier
NLP
Machin
Learning
Sorter
… …
Simple
inquiry
Information
change
non-classified
documents
Det
ails
Mo
dul
es
NLP
Category
learning
Category
Feature
 High-precision processing language for
the target document classification
 Sentence separation, morphological
analysis, entity recognition, parsing
 The latest machine learning model
applied CRF(Conditional Random Fields)
and SVM(Support Vector Machine)
 Flat hierarchies structure and perform
multi-category automatic classification
Contextual understanding through language analysis,
high-performance technology
Provide a high degree of accuracy for the analysis of
a specific region, such as a professional content VOC
Select the quality characteristics suitable for
different areas (VOC, news, blogs, Twitter, etc.) of
the and can be expanded by utilizing them
classified
documents

Copyright © 2015 Minds Lab. All rights reserved
463-100, 12F, U-Space 1-B, 660, Daewangpangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Korea
T.031-625-4340 F.031-625-4119 | www.mindslab.co.kr www.mindsinsight.co.kr
No part of this publication may be circulated, quoted, or reproduced for distribution outside the client organization without prior written approval.
Big Data & Machine Learning
The next frontier for innovation, competition and productivity

Minds insight service_introduction_v1.0

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