The Alchemy Sentiment Analysis Adapter is used to score
structured and unstructured textual content by identifying positive,
neutral, and negative sentiment found within emails, documents,
and database records. Textual data from a data source is passed to
the adapter in one of three ways:
- Joining the column containing the textual data from the
data source to the column within the Alchemy Sentiment Analysis
Adapter used to define the textual data to be scored.
- A report which uses Cluster Join metadata. The Cluster Join
metadata already contains the join from the column containing the
textual data from the data source to the column within the Alchemy
Sentiment Analysis Adapter used to define the textual data to be
scored.
- Using a WHERE/IF condition to pass textual data directly to
the column within the Alchemy Sentiment Analysis Adapter used to
define the textual data to be scored.
The score returned from the Alchemy Sentiment Analysis Adapter
ranges from -1 to 1.
- A score of -1 identifies the sentiment of the textual data
that was passed to the adapter as extremely negative.
- A score of 0 identifies the sentiment of the textual data that
was passed to the adapter as neutral.
- A score of 1 identifies the sentiment of the textual data that
was passed to the adapter as tremendously positive.