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
    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
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 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

Survey Results: Challenges and Opportunities for Professional Services Firms
World Series Analytics
3 Organizations That Can See the Future with Predictive Analytics
Business Intelligence – The Power of Human Emotion
Trudeau v. Kent, That’s What I Call Negative Sentiment

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

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Why Context Matters – Forget Real-Time, Achieve Right-Time

9 Min Read

Big Social Data Can Unlock the Power of Engaged Viewers

9 Min Read
Hadoop in retail
AnalyticsBig DataData VisualizationHadoopMapReduceMarketing AutomationModelingPredictive AnalyticsSentiment AnalyticsSocial DataSocial Media AnalyticsSoftwareSQLText AnalyticsUnstructured DataWeb Analytics

5 Common Use Cases for Hadoop in Retail

5 Min Read

Social Monitoring Doesn’t Stop At Social Media

3 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?