Twitter and IBM have partnered on a deal that will integrate Twitter data into various IBM software products and cloud services, and will result in a new certification for 10,000 IBM consultants. It’s a good deal for IBM, but probably better for Twitter.
Amazon Web Services, Gnip and two Australian research institutions have teamed up to track the emotions of tweets in near real-time and offer the data to the public via visualizations, downloadable tables and an API.
Bloomberg now has sentiment analysis tools to tell traders about spikes in positive or negative chatter on Twitter.
Gnip, one of a handful of companies with direct access to the Twitter firehose, is now letting its customers query 30 days worth of tweets via a new search API. CEO Chris Moody describes it as fast delivery on small data.
DataSift, one of the two companies (along with Gnip) granted real-time access to the Twitter firehose, now offers real-time and historical analysis of Tumblr data. While it’s best-known for Twitter, DataSift actually analyzes dozens of social media and commenting platforms, which is pretty handy if you want to compare sentiment, engagement or whatever else across platforms where people behave quite differently.
Union Metrics, which began analyzing analytics data from Tumblr last year, now offers a free version of its product. It already has figured out when people publish and reblog posts most.
PeopleBrowsr, a company that provides marketing analytics based on the full stream of data from Twitter called the firehose, is suing Twitter for access to that stream. While Twitter is closing down who has access to the firehose, it shows where the company is headed.
EMC’s Greenplum division hopes to encourage users of its Chorus big data application to reach out to the Kaggle community of data scientists to do real-world work. The company also inked partnerships with Gnip and Tableau and open-sourced a version of Chorus.
In the era of cloud computing and big data, chief marketing officers can either sink or swim depending on their ability to recognize the importance of the consumer information available to them and are able to capture and put it to use.
Businesses are hungry to understand more about the public perception of their products and services by tapping social networking sources. That demand is why DataSift, which sorts through tons of social network data, garnered $7.2 million in additional funding from existing backers.