This API provides a semantic tagging of multilingual content for Corporate Reputation analysis purposes.
It applies a Corporate Reputation model based on a set of reputational dimensions (e.g., innovation, social responsibility) and, inside each of them, an array of variables that influence an organization’s reputation.
The API receives a piece of content (e.g., tweet, news article) and analyzes it to identify what organizations are mentioned, related to which reputational variables and the polarity (positive, negative, neutral) of what is being said.
This result can later be used to calculate aggregations, identify trends and elaborate reports and dashboards.
First of all, the text provided will be fragmented into paragraphs or phrases (depending the detail needed for each case) in order to give a complete and detailed report about the reputational information obtained for each fragment.
For each fragment, two different analyses will be carried out:
Once these two analyses are done, they will be combined and statistical methods will be applied to obtain the reputation associated in each fragment to each named entity detected for each category defined in the reputation model.