This API semantically tags content in various languages for Corporate Reputation analysis purposes.
It applies a Corporate Reputation model based on a set of standardized reputational dimensions (e.g., innovation, citizenship), each of which consist of an array of variables that influence an organization’s reputation.
The API receives a piece of content (such as a tweet or news article) and analyzes it to identify what organizations are mentioned, related to which reputational dimensions and the polarity (positive, negative, neutral) of what is being said.
This result can later be used to calculate aggregations, identify trends and elaborate on reports and dashboards.
First of all, the text provided will be fragmented into phrases in order to give a complete and detailed report about the reputational information obtained for each individual fragment.
For each fragment, two different analyses will be carried out:
Once these two analyses are complete, they will be aggregated to ascertain the global reputation associated with each organization detected in the original text. The result will detail the reputational dimensions affected as well as the corresponding polarity.