Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Sophisticated Text Mining Can Provide Context for Sentiment Analysis
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Sentiment Analytics > Sophisticated Text Mining Can Provide Context for Sentiment Analysis
Sentiment Analytics

Sophisticated Text Mining Can Provide Context for Sentiment Analysis

Jennifer Roberts
Jennifer Roberts
3 Min Read
SHARE

One of the most powerful features of semantic technology is its ability to contextually understand content; to derive meaning from language. Isolating specific terms around positive or negative reaction in relation to a specific context can reveal the sentiment behind a consumer expression of intent or consideration.

We have an interesting dashboard of  data related to consumer TV behavior around:

One of the most powerful features of semantic technology is its ability to contextually understand content; to derive meaning from language. Isolating specific terms around positive or negative reaction in relation to a specific context can reveal the sentiment behind a consumer expression of intent or consideration.

More Read

On Text Analytics vs Machine Translation
The Big Question In Big Data Is…What’s The Question?
How Big Data Will Change Marketing Forever
Does B2B Need Social? The Growing Importance of Social Media Analytics to B2B
The Future of Advertising at a Glance

We have an interesting dashboard of  data related to consumer TV behavior around:

  • Viewing Intent – captures text related to what consumers intend to watch or not watch. For example, “I missed the show last night and have the TV set to remind me to watch it at 8pm tonight.”
  • Watching – relates information specific to shows that are actively being watched.
  • Favorite – captures specific and strong indicators of positive reaction, capturing variations of phrases such as “my new fave”, “the best…”, “one of my favorites”, etc.
  • Affinity – identifies specific positive phrases such as “I love…”, “…is fantastic”, etc…

Each of these consumer intentions or expressions represents a dimension, a sort of status of interest in the following shows:

  • Pawn Stars
  • Antiques Roadshow
  • Storage Wars
  • American Pickers
  • Hardcore Pawn
  • Auction Kings

Click image to enlarge

Once we have filtered conversations to include only on-topic text related to Watching, we can then apply a sentiment filter.

Click image to enlarge

In the image above, two important views of data related to consumer behavior are being monitored. Not only are you able to identify a specific audience of active viewers watching a specific show but you can also begin to surface sentiment related to that behavior. Monitoring these metrics over time can provide insights on any outreach efforts, campaigns or general perception of a show.

If you’re interested, you can also view the video we created around the use of dimensions and sentiment.

Analyze Consumer Intentions & Sentiment to Surface Actionable Insights from Collective Intellect on Vimeo.

Happy Friday!

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Catherine H vanZuylen’s Presentation Slides on Social Sentiment Analytics

0 Min Read

2013 1H Conferences in Social Media, BI, Big Data, and Sentiment Applications

4 Min Read

Text Analytics Is Hard (That’s What She Said)

7 Min Read
Image
Predictive AnalyticsSentiment AnalyticsSocial Media AnalyticsText AnalyticsUnstructured Data

Why Text Analytics Is Important in Search

4 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
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
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?