Data Science at Circus Social

Circus Social is brimming with social intelligence. With a vibrant and vastly talented group of Data Engineers, Data Scientists, and Data Analysts on board – we live and breathe analytics.

More recently, our machine learning capabilities for the 20/Twenty platform have benefitted from a decentralized and distributed structure.

Data Science at Circus Social

Our clients are often faced with a variety of marketing challenges – and we try to work hand-in-hand to find the most efficient way of tackling them. These could include finding solutions to ‘hard-problems‘ like real-time document clustering or- predicting a virality score for posts on social media.

There are also new challenges that occur with changing lifestyles and social media behavior like, automatically grouping similar videos uploaded by users based on different attributes including context, language and emotions where we have to tap in to specializations of both the science and the engineering teams have been only possible with the contribution of both the science and the engineering teams.

While our data science team has created magic with data, predictive and modeling techniques, our engineering team has helped maintain several terabytes of data and created effective machine learning pipelines.

Data Science at Circus SocialThe team’s latest project has been to develop and deploy a real-time document clustering functionality – allowing our clients to find viral content, identify trends and proactively react to crisis situations. The three main phases of this project are feature extraction and selection, document representation and clustering.  After having experimented with a lot of clustering algorithms with speed and cluster quality as the primary metric for evaluation we settled for a hybrid approach that used both K-means and agglomerative hierarchical clustering. K-means, because of its run-time efficiency and agglomerative hierarchical clustering because of the cluster quality. While our initial motivation was to find similar conversations in a given geographical area, we have also started using it to recommend conversations and articles the user is most interested in.

Data Science at Circus Social

At Circus Social, promoting the best ideas not only pampers our love for an open culture but also helps drive an innovative culture that constantly challenges the status quo. As a social media analytics company, we have developed a similar wavelength for Data Science.

From where it all began in the early days of social listening-, to today’s culmination of intelligence, data science & machine learning-, we are truly excited at the possibilities of what the future of 20/Twenty holds for us, our team and our clients.

A Chance Meeting: Social Media Monitoring

I was at a Business School today to attend an event and met a few people from the industry. Here is an interesting conversation I had with somebody I met. Let’s call him Mr. X.

Mr. X – So what do you do?
Ram – I am an entrepreneur and run a software product company called Circus Social. We do social media monitoring and analytics; and have offices in Singapore and Bangalore.

Mr. X – What exactly is social media monitoring?
Ram – In simple terms, we fetch data, and a lot of it, from multiple social networks like Facebook, Twitter, Instagram, Pinterest, Reddit etc. and also from several blogs, forums and news sites. We then process and augment this data (with sentiment, gender, removing spam etc) and allow marketers to get insights from this data. We show them trends, insights, a lot of charts and graphs and allow them to make better business decisions.

Mr. X – So you are a big data company. Sounds like tough work. What kind of business decisions can be made?
Ram – Yes, we are indeed a big data company. Currently, our clients are enterprises, typically marketers, who would like to know their customers better, research their markets, analyse their competitors, identify top influencers, get real time alerts on topics of interest etc. We are also launching our SME product shortly.

Mr. X – So, do you invade people’s privacy? Isn’t this data private?
Ram – We only crawl data that is already publicly available. Anything that is private or protected by you is completely out of bounds for us. We do an incredibly good job of collating all of this data in our platform and marketers find tremendous value in quickly viewing trends from 10,000 feet but also in the ability to drill down to understand the “why” and “how” behind the trends.

Mr. X – Will this be useful for my company?
Ram – If people are talking about your company, your brands or topics that you are interested in tracking, you will definitely find it useful.

Mr. X – Where can I get more information?
Ram – Here’s my business card. Please visit our website https://www.circussocial.com where you can find a lot more information about what we do and a list of some of our clients. You can also sign-up for a free demo.

Mr. X – Sounds good. Thank you!
Ram – You are welcome!