All posts tagged sentiment

#MarchMadness on Twitter: Who Are the Social Cinderellas? #Infographic

Posted by on March 27, 2013

March madness is one of my favorite events of the year.  As a Big Ten alumni I always hope that my school will make it to the finals and I follow the games closely.  It is also fun to see how these games drive social conversations online.  Between rabid sports fans and passionate alumni, these games create lots of excitement and discussions!

While I have my personal favorites (hint: Michigan and Indiana), we used Visible Intelligence to take a look back at the second round leading to the Sweet Sixteen. We know who won in our basketball brackets, but what about the Twitter tournament? Who was mentioned most and who won the the social hearts and minds of basketball fans?

As you can see in the infographic below, created with ExactTarget, there were winners, losers, cinderella stories and underdogs.

Highlights:

  • In the top two regions, Oregon and Michigan (Go Blue!) are always among the top schools when it comes to social media in college sports
  • Duke and North Carolina are huge rivals with huge fanbases, so it’s no surprise that these two schools are popular on Twitter
  • In the bottom half of the bracket, Gonzaga (the ultimate Cinderella and often fan-favorite) had the most mentions in the west region
  • Marquette (who won on a buzzer-beater) had the most mentions overall

What happens on the court may not always reflect who wins on Twitter.  Teams with large fan bases and active social media accounts did well. Games with high drama and exciting finishes had more mentions. Bring on the Sweet Sixteen and Elite Eight!

March Madness Round 2 Twitter winners

March Madness Round 2 Twitter winners

Comments: 1

In Which We Survive The Hunger Games

Posted by on March 28, 2012
The Hunger Games

Image via Lionsgate

This previous weekend was notable in Seattle for its glorious weather (some of us might have seriously considered trying to swim in the lake) but I suspect many locals were otherwise engaged–as was the entire country. It was the Hunger Games opening weekend and if you didn’t see the movie I think I can reasonably assume that you know someone who did.

I was free to enjoy the weekend glimpse of sun because I was one of the crazies (fans) in line to see the midnight screening Thursday night. I know the reaction to the film that took place in my theater, but I am no movie reviewer! Let’s leave that to the expert social media masses. Using Visible Intelligence®, I took a look at conversation around the film– whose well documented social media presence has been impressive leading up to the premiere (the advanced screening Twitter contest, elaborate suite of websites, and engaging Facebook page are just the tip of the iceberg) to see what the talking points were. Read more…

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9 Questions to Ask About Social Media Sentiment

Posted by on March 8, 2012

Looking at the sentiment of social data can be a very useful way to help get a snapshot view of consumer perceptions, quickly dig into a pile of potential customer servicing opportunities and provide another layer of filtering to identify insights into the complex ways that people discuss and emote about topics.  Sentiment scores are a standard data enrichment piece for enterprise-ready social media and monitoring solutions, and a few free tools offer lightweight, less accurate versions with their functionality.

So as a business, what kind of questions should you keep in mind while evaluating social sentiment solutions when choosing a social listening platform?  Here are 9 questions you should answer for yourself when evaluating what a specific software solution has to offer. Read more…

Comments: 3

Using Sentiment in Social Media Monitoring

Posted by on March 6, 2012

If you have looked at social media monitoring platforms to help you better understand what consumers are saying about your brand on the social web, sentiment has probably come up on more than one occasion.  In this post, we look at what sentiment means from a business perspective and the nuances of sentiment accuracy.

The Value of a Sentiment Score

A sentiment score can be an extremely useful in evaluating a large data set of social brand mentions.  Sentiment scores can give users a straightforward way to segment and filter content based on positive or negative commentary, allowing them to isolate the themes or issues driving that sentiment.  It also allows for dynamic and illustrative reporting of trends and market reactions, or situations like product recalls. Read more…

Comments: 0

Billy Crystal – 9th Time’s a Charm, or Not!

Posted by on February 27, 2012

After a hiatus as Oscar host, Billy Crystal was back last night for his ninth time hosting the 84th Annual Academy Awards. But how did people around the country, and even around the world, feel about his performance? Read more…

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Obama: the best of the worst on the economy?

Posted by on August 26, 2011

A July 15th poll conducted by Quinnipac University indicated that voters blame Bush over Obama 2-1 for the bad economy. The poll also found that 56% of American voters disapprove and just 38% approve with the way President Obama is handling the economy, but by 45% to 38% they trust the President more than congressional Republicans to handle the economy. So, there are some mixed signals in the polling data. How can the President know how voters really feel about his handling of the economy?

I thought it would be interesting to take a look at some of the data we’ve collected over the past thirty days and see exactly what people are saying. So, I created a search in Visible Intelligence that returns all the posts and comments with “double-dip recession” or “another recession” in them. By filtering to all the posts in which social media authors expressed negative sentiment, I was able to get a read on how Obama fares relative to Republicans, Bush and other terms. This is the list of the Most Prominent Terms from more than 1,300 negative posts and Tweets collected between July 23 and August 23:

Read more…

Comments: 1

A “Quick Take” on Human vs. Machine Sentiment Scoring

Posted by on July 15, 2011

You may recall reading back in April, Shawn Rutledge’s post that explains human versus machine scoring by relating it to a boxing match, Humans vs. AI in a Sentiment Bout. And the winner is….  Just recently Shawn helped us put together a “Quick Take” on this very topic.  It explains the sentiment scoring experiment behind his post a bit more.

Below you’ll find the content of the Quick Take.  If you’d like a PDF of this piece please contact us at: [email protected].

Can a Machine Really Score Sentiment?

Read more…

Comments: 0

Humans vs. AI in a Sentiment Bout. And the Winner is…

Posted by on April 27, 2011

Let’s Get Ready to Rummmmble…

There is a mismatch between claims and perception around automated sentiment analysis. Like a prize fighter, trash talking vendors make boastful, escalating, and ultimately ridiculous claims about their accuracy. At the same time, sentiment accuracy is the least satisfying feature of social media listening platforms according to Forrester research, with only a 45% satisfaction rate.

Sentiment evaluation is more complicated than it might first appear. [See our whitepaper on tricks vendors play to claim just about any accuracy level they choose, along with some best practices for your own evaluation]. Despite the challenge, let’s see if we can setup a “bout” that gives us some level of insight (I’m hiding the methodology used in double blind clinical trials behind a boxing metaphor to have a bit of fun with this post – I’m guessing you’ll let me know if it holds up).

Read more…

Comments: 1

3 Stages of Using Sentiment in Social Media Monitoring or Listening Programs

Posted by on December 13, 2010

Sentiment has become a big topic of conversation and a key ingredient to a dependable recipe for deriving Social Intelligence from social media monitoring platforms.  It’s hard to deny the appeal of flashy and colorful report graphics showcasing positive and negative sentiment trends, scary red volume spikes and overwhelmingly green “whew, they love us!” pie charts.  They are impressive looking, put pizzazz in reports and at the same time can convey very important and pertinent information to business decision makers.

In social analytics research and reporting, sentiment plays a prominent role when comes to broader, aggregate level reporting.  A sentiment score can be an extremely useful in evaluating a large data set of social brand mentions—say a brand and image focused topic.  Tracking weekly or monthly shifts in positive or negative sentiment, say comparing your sentiment percentages to those of your competitors, is a great way to continually assess your brand health.

Read more…

Comments: 4

Social Intelligence Webcasts Recap

Posted by on November 22, 2010

Last week we hosted two live Social Intelligence Webcasts:
Understanding Sentiment Evaluation, and The Evolution of Enterprise Social Intelligence.

Understanding Sentiment Evaluation, hosted by Visible’s own Shawn Rutledge, Director of Core Technology and Jackie Kmetz, Director of Data Strategy & Product Training, presented their experiences about how understanding consumers’ attitudes, opinions, and emotional connections via the social Web can help improve your business.

Read more…

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