By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Text Analytics for Telecommunications – Part 1
Share
Notification Show More
Latest News
ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science
ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Text Analytics > Text Analytics for Telecommunications – Part 1
R Programming LanguageText Analytics

Text Analytics for Telecommunications – Part 1

ThemosKalafatis
Last updated: 2012/01/25 at 11:37 AM
ThemosKalafatis
3 Min Read
SHARE
As discussed in the previous post, performing Text Analytics for a language for which no tools exist is not an easy task.

As discussed in the previous post, performing Text Analytics for a language for which no tools exist is not an easy task. The Case Study which I will present in the 9th European Text Analytics Summit is about analyzing and understanding thousands of Non-English FaceBook posts and Tweets for Telco Brands and their Topics, leading to what is known as Competitive Intelligence.

The Telcos used for the Case Study  are Telenor, MT:S and VIP Mobile which are located in Serbia. The analysis aims to identify  the perception of Customers for each of the  three Companies mentioned and understand the Positive and Negative elements of each Telco as this is captured from the Voice of the Customers – Subscribers.
By analyzing several thousands of Tweets and FaceBook posts and comments we can have a first glimpse of Competitive Intelligence. For example when we wish to identify which words frequently occur with mentions about postpaid packages this is what we find  :
Red boxes show Telco Brands – notice “mts” and “mtsa” which point to the same Telco, namely mt:s.  Blue boxes indicate similar words that should be merged.  From a first look at the results above we see that : 
a) mt:s is found more frequently when users mention PostPaid packages.

b) Telenor and VIP Mobile are not found as frequently as MT:S in PostPaid package conversations.

More Read

programming languages for corporate database

Choosing the Right Programming Language for A Corporate Database

Seven Benefits of Using AI to Perform Text Analysis
5 Applications for Corporate Text Analytics
An Introduction To Hands-On Text Analytics In Python
5 Free Programming and Machine Learning Books for Data Scientists

c) We see several  problems from insufficient pre-processing : Kredit and Kredita (=credit) should merge into one word, the same applies for telefona – telefon, internet – interneta and mts – mtsa.
 
Notice that we can perform the same High-level analysis for several Telco Topics such as Network, Billing, Customer Care, Promotions, Questions of subscribers and so on. The next task is to identify the reason(s) why MT:S was found to have more mentions about PostPaid packages. Note that at this point we do not know why this is so : It could be the fact that MT:S prices of prepaid packages are high, very cheap or something else is happening that needs to be identified.

The Serbian Language poses extra work because it is a highly inflected language : Even the ending  of  Brand names change according to the usage.  Consider the following :

U mts-u (at mts)
Sa mts-om (With mts)
Bez mts-a (Without mts)

It is evident that a highly inflected language explodes our feature space and for this reason R can come to the rescue with some success. We can use R for changing several synonyms to one word, removing (Serbian) stop words, removing URLs and performing several other pre-processing steps that are necessary prior to an extensive analysis. More on the next post.

ThemosKalafatis January 25, 2012
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

programming languages for corporate database
ExclusiveProgrammingR Programming Language

Choosing the Right Programming Language for A Corporate Database

6 Min Read
text analytics
Text Analytics

Seven Benefits of Using AI to Perform Text Analysis

9 Min Read
corporate text analytics
Text Analytics

5 Applications for Corporate Text Analytics

7 Min Read
hands on text analytics tutorial
AnalyticsExclusiveText Analytics

An Introduction To Hands-On Text Analytics In Python

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?