Machine learning model

Learn about the benefits about the machine learning model, how the model helps tag categorization to automatically generate tags, and how it can be improved.

The machine learning model learns various concepts and meanings behind the English language and transfers that knowledge to tag categorization. This method enables the model to train and learn from larger web scale text data rather than relying on limited data in market research surveys.

Benefits of the model

The machine learning model allows it to:

Learn from hundreds of thousands of examples of documents tagged by experts, often human.
Have a lenient internal logic in comparison to a classical heuristic approach.
Have a non-deterministic nature.
Note: A non-deterministic nature results in a probabilistic model that assigns a probability to each potential word.

For more information about how to use tag categorization, see:

Create a text analysis from Open End questions
Use Automatic Tools