Today I spoke with Nick Koudas of Sysomos who gave me an advanced look at Sysomos Map and Sysomos Heartbeat Social Media Monitoring tools (see my animated GIF below) GIF animations generator gifup.com Nick started by showing me Sysomos Map which is an analysis tool used to produce reports and insights (see image 1) and contrasted it to S ysomos HeartBeat (see image 2) , a real time search trend tool used to keep track of what is happening now. I got an appreciation on how Sysomos is somewhat different than the other Social Media Monitoring platforms I’ve worked with so far - 1. Data (historical back to 2002) is “ atomized” semantically allowing for more complex data visualizations, often, on the fly
Today I spoke with Nick Koudas of Sysomos who gave me an advanced look at Sysomos Map and Sysomos Heartbeat Social Media Monitoring tools (see my animated GIF below)

GIF animations generator gifup.com
Nick started by showing me Sysomos Map which is an analysis tool used to produce reports and insights (see image 1) and contrasted it to Sysomos HeartBeat (see image 2), a real time search trend tool used to keep track of what is happening now.
I got an appreciation on how Sysomos is somewhat different than the other Social Media Monitoring platforms I’ve worked with so far -
1. Data (historical back to 2002) is “atomized” semantically allowing for more complex data visualizations, often, on the fly. One example is collection of Twitter followers for any influential Sysomos tracks in their system. Sysomos can show the number of unique viewers (de-duplication of Twitter Followers). System Architecture makes complex analysis easier than what I have seen from Alterian or Radian6.
2. As a result of atomizing data and a better graphical representation than what I have seen elsewhere – Sysomos might be a better platform for certain types of analysis (ie: competitive analysis looks to be better here than anywhere else).
According to Nick Koudas, Sentiment Analysis may also be better than other platforms I’ve worked with.
87% accuracy in sentiment analysis of general text
91% accuracy in sentiment analysis of product reviews
85% accuracy in sentiment analysis of movies and celebrities
That’s not bad! What I mean to say, at 87% Sentiment Analysis accuracy you an almost do what most people wanted to do with Social Media Monitoring platforms, in the first place, score sentiment of a large amount of information in an automated way, with a certain degree of confidence (that’s not possible to do with Alterian/Techrigy/SM2, Radian6 or any of the free tools out there – though it may/may not be true of Crimson Hexagon).
Influencer ranking and producing Influencer Lists, according to Nick, is fairly easy. Sysomos appears to focus much more on noise reduction – the approach is based on an idea that data full of “noise” is not worth analyzing. I have found that it’s typical to get many unrelated results in most profiles I’ve set up in platforms I’ve worked – by eliminating “noise” or unrelated information, the accuracy of information that’s left is heightened.
Sysomos has more powerful contextual search capabilities than average – using the program interface you can control how close keywords in your profile need to be to each other to be contextually more relevant (see image below) and more complex queries can be constructed using AND, OF, NOT logical operators.
Besides identifying influencers, Sysomos can map influencers - the map can be added to in realtime and altered while the pages automatically refresh.
Because information is collected and stored atomically, extremely rich reporting can be done, including geo-demographic profiling, isolating influencers by city and state level with a high degree of confidence – this seems to be entirely missing from the capabilities of anything else I’ve worked with. For example, I mentioned that Alterian and Radian6 are next to useless for geo-location queries, regardless of what the companies tell you and wrote about it in a post on finding local blogs and bloggers where I gave up on Alterian and Radian6 for hyper local searches as the platforms were not designed for it. In the future, this may change as more geo-local data is transmitted (ie: using mobile devices with geo location turned on – we’re seeing this appear first with Twitter – but it will NOT end there)
While Radian6 and Alterian technically do have the same capabilities – for example
- drill down by location, age, sex, (Sysomos can also break down traffic by industry)
- identify languages (Sysomos can identify and translate back and forth between 55 languages and identify up to 186 languages)
I suspect, it’s not so much what Sysomos does, but the way in which it does it, where it’s strengths are.
The “BuzzGraph” looks similar to what some tools like Crimson Hexagon produce, though the style of the map is somewhat different – and the inclusion of Facebook and MySpace data (data that can be gotten from public crawling of profiles where they can be found on Google, for example, is powerful, and features people are asking for, more and more.
To sum up this post on Sysomos – I was impressed with how much thought went into the data architecture and reporting capabilities of Sysomos. It’s a powerful platform and an example of how fast the Social Media space is evolving.
I’m happy to say that Nick Koudas will be at Monitoring Social Media 09 in London and the Influence Scorecard gathering in New York during November – and I’m looking forward to that.
To read more about Monitoring Social Media 09 – check out these two posts
Looking forward to Monitoring Social Media 09 in London – Part 1 November 17th
Looking forward to Monitoring Social Media 09 in London – Part 2 – November 17th
To learn more about the Influence Scorecard – thisisbeta.influencescorecard.com/
Go here to see the original:
Sysomos Map and Heartbeat Social Media Monitoring
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