On top of concentrating the raw data of multiple social media channels into a single stream, DataSift adds value to each data object it channels by augmenting it with other useful data. For example the standing of the author may be available, or the sentiment or language of the message. This enables you to write more incisive filters and receive more valuable results.
There are different types of augmentation:
- the expansion of any links included in the message and title of the pages to which they point
- results of sentiment or language analysis of the data object's message
- profile data of author or subject tracked by other providers such as Klout or Trends
DataSift uses data and analysis from the following providers to bring this extra insight:
Not all data sources receive all types of augmentation. Language, Salience and Links are available for all sources; the other augmentations are currently availabe only for Twitter: