What is Part of Speech (POS) tagging?
When should I use POS Tagging?
How to Apply this Model
Expected Output
Known Limitations
What is Part of Speech (POS) tagging?
This model allows you to analyze textual data by extracting nouns, adjectives, and verbs.
When should I use POS Tagging?
This new model allows greater insight into your customers' thoughts and actions. Tagging parts of speech will help you understand what your customers are talking about (nouns), how they find some entities (adjective) and what action they see or take (verb) in a more concise fashion than chunks. Each part of speech will be stored in a respective column (pictured below) and the aggregation can be displayed in a widget, similar to buzzword visualizations.
How to Apply this Model
To access the Data Settings Panel menu, click the Data settings button, accompanied by the gear icon.
In the data settings panel that appears, make sure you have connected the data stream you want to work with in the Connected column.
In the Analyze tab, expand the section labelled Other to see available models. Choose POS tagging by clicking the + icon.
For the model to run successfully, you'll need to select a text dimension. Make your selections and click Start Analysis. Then Save.
Depending on the size and complexity of your data stream, it may take some time for the analysis to finish running. When you return to the Data Settings, you'll see this analysis within the Deployed section at the top of the Analyze tab.
Expected Output
The expected output is columns for each part of speech, indicating the frequency of the words in a given category.
Known Limitations
Part of speech tagging is available in English only at this time.
Further questions?
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