Corporate Reputation provides a semantic tagging of multilingual content 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:

  • Each fragment will be analyzed to extract the different named entities (organizations) using complex natural language processing techniques and to determine whether each detected entity expresses a (positive/negative/neutral) sentiment.
  • Each fragment will also be analyzed, using MeaningCloud’s Deep Categorization solution, to ascertain its associated sentiment alongside any relative categories it may have, in accordance with the pre-established categories defined in the Corporate Reputation model for business. The algorithm uses a very detailed rule-based language, which makes it possible to obtain a high degree of precision for a range of different environments, such as this.


Everything and anything you need to take advantage of this API's full potential.

Test Console

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Developer Tools

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Version Date Status
2.0 19/August/2021

2.0.0 (19/August/2021)

  • Support added for several languages.
  • General improvements to the procedure of carrying out the analysis.
  • New Corporate Reputation taxonomy classification is applied.
  • New input params for different cases of use.
  • New output simplifying useful information.
1.0 27/March/2017

1.0.8 (27/March/2017)

  • Resources have been updated and small bugs have been fixed.

1.0.7 (27/July/2016)

  • Resources have been updated and dependencies with the Sentiment Analysis API has been upgraded.

1.0.7 (22/December/2015)

  • Resources have been updated and small bugs have been fixed.

1.0.6 (01/December/2015)

  • Resources have been updated and small bugs have been fixed.

1.0.5 (06/October/2015)

  • Resources have been updated.

1.0.4 (09/September/2015)

  • Resources have been updated.

1.0.3 (14/July/2015)

  • Several minor bugs have been fixed and resources have been updated.

1.0.2 (02/June/2015)

  • Python client has been improved.

1.0.1 (18/May/2015)

  • Several minor bugs have been fixed, and resources have been updated, including CASHTAG detection.

1.0 (15/April/2015)

  • Initial version.

Click on the version number to see the changelog.

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