The sentiment reviewer allows users to extract NER (named entity recognition) and intents from any given sentence. The responses (or output) of the agent is generated by decorating the input text with metadata to give visibility to the user of the results.
Due to the nature of the agent, the
Sentiment reviewer is only available for enterprise subscriptions due to the need of fine-tuning the agent to extract specific entities and intents.
The agent can be fine tuned to extract specific entities and intents by creating
Training data for the Sentiment Reviewer and in combination with the
Trainer module to keep track of the evolution of the agent capabilities.
Training data and
Trainer can be accessed only by the following user types:
The Sentiment reviewer is located from the main menu:
Users have the ability to review content using the What You See Is What You Get (WYSIWYG) interface and when a user clicks the
Review button, the agent will provide analyse the content provided extrapolating the NER(entities) and intents (e.g. sentiments) found in the text.
Users enabled to train the agent can choose to use the
Train mode at the top left of the screen. This will keep all the data generated by the agent allowwing the users to make corrections or add new data to the agent to train on.
The user can choose to use the
Train mode without saving the document, with the ability to save the document at a later stage after the annotation is complete
The documents saved in
Train mode will be saved in the
Training data module.
Similarly to the documents present in the
Knowledge hub, users can real time collaborate on the same document.