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  • June 17, 2009
  • News

Getting sentimental

Teragram has introduced Sentiment Analysis Manager (SAM) a social media analysis tool that computes the sentiment of digital text and captures relevant information that enables brand managers to see what are writing about their products. The company describes SAM as the first hybrid system that combines both a statistical method for computing reviews as well as a rules-based approach that lets brand managers evaluate specific terms and syntaxes.

SAM automatically computes the review sentiment from mainstream sites and social media outlets, capturing the overall opinion of the combined assessments. SAM also analyzes the number of stars in a product rating to extract the general consumer reaction to that product. It searches and evaluates both positive and negative phrases in reviews for a more detailed breakdown of these online evaluations. Users can extrapolate this information from SAM to create color-coded graphs to understand exactly what these online posts mean in terms of the overall tone of coverage of their brand.

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