DataSift, a real-time data-filtering platform, is moving stateside to help businesses monitor just how their brand is doing when it comes to social media.

Essentially, DataSift’s platform searches through user conversations on social media sites (just Twitter for the time being) to formulate business-related insights based on hundreds of millions of social media posts per day. The platform is also able to filter social media data by demographic information, online influence and sentiment.

Sentiments come into play thanks to a partnership with Lexalytics, so that DataSift can characterize and filter for the sentiment (positive or negative) of a tweet. Another partnership with Klout allows DataSift to filter and analyze Twitter results based on influence.

Furthermore, DataSift does not limit searches based on keywords. Companies of any size can opt to customize and define more complex filters, such as location, gender, sentiment, and language for more specific insights and analysis. DataSift’s platform technology can even be applied to picking out any content that is represented as a link within the post itself.

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