Thursday, September 22, 2011

Sentiment Analysis, the R way, on Netflix's September 18th Announcement

Did Netflix make a bad move or a bold move, only time will tell but for now here is a simple sentiment analysis using R and TwitteR package on tweets involving Netflix for you to consume...

So aftermath of #netflix supposedly bad strategic move, I thought that it will be little fun to do a little sentiment analysis using a sample of tweets from the past few days. I turned to my favorite "R" and discovered a new package called "TwitteR" and 4 lines of code later, I had the following outcome:

788 of the 1500 tweets, that is 52.5% of the tweets, over the last three days had words bad, suck, terrible or :( with #netflix...

You be the judge whether Netflix customers are unhappy and whether it was a bad (or bold) strategic move...

>  library("twitteR")
> searchNF <- searchTwitter("#netflix bad OR suck OR terrible OR disaster OR :(", n=1500, since=as.character(Sys.Date()-3))
> negativeTweets <- length(searchNF)
> negativeSentiment <- negativeTweets/1500

And yes, I enjoy coding :)

Friday, September 16, 2011

Best quotes from Forbes Article SAP-Google Maps Partnership

SAP Partnership with Google Maps Indicates a New Openness

"SAP is overcoming a legacy of an insular engineering culture that could accurately be accused of suffering from a “not invented here” complex in the past."

"The only problem with SAP’s pride in its history is that it has sometimes shut the company’s eyes to new ways of creating software. It appears that this announcement may mark a turning point to increased awareness and use of outside components. If SAP becomes truly open to using more and more outside components, and learns how to use them to create stable, reliable software, SAP could accelerate the pace of change, keeping the stable parts of its applications, but adding the best of what has newly arrived."

There is something more at stake for Google than money - it is likely that Google Maps will be adapted by Google to better meet the needs of enterprise applications.

"What’s next? What other cloud components will SAP start to incorporate? The second is: Is a bigger partnership possible? Google’s mission is “to organize the world’s information and make it universally accessible and useful.” Much of the information that runs the world is in SAP. Why aren’t Google and SAP working together to make it more universally accessible and useful?"

Pervasive Location Analytics − The Next Frontier to Fall In the Enterprise Software?

Geo-location and spatial intelligence is the strategic turning point for business analytics and BI. Location has become an essential part of the enterprise data and increasing number of enterprises have geo-coded their location data to build location-aware application to drive location-aware decisions. For example, by overlaying the foreclosure data, income data, and the data from its mortgage portfolio on a geo-chart, a regional mortgage bank assesses the risk of its mortgage portfolio and decides to take corrective actions. A fast food company uses the demographics data, the latest census data, and the historical sales of its stores to determine the location of its new restaurant. 
Slides from SAP TechEd 2011 Las Vegas -