Tagger Plugins add annotations to text that can be queried and composed later.
Importer Plugins add annotations to text that can be queried and composed later.
Use them when writing Packages to help you work with data of different types.
# NLPCloud Tagger Plugin - Steamship This project contains a Steamship Tagger plugin that enables use of NLPCloud's text tagging pipeline. ## Configuration This plugin must be configured with the following fields: * `api_key` - Your One AI API key * `input_type` - Either `conversation` or `article`. [One AI Documentation](https://studio.oneai.com/docs?api=Pipeline+API&item=Expected+Input+Format&accordion=Introduction%2CPipeline+API%2CNode.js+SDK+Reference%2CClustering+API) * `skills` - A CSV list of One AI "skills" that produce tags Example skills are: * `entities` - Tags real-world objects, such as people, organizations, and time frames. * `topics` - Tags text with relevant topics. * `sentiment` - Tags text with phrases containing positive and negative sentiment: Output tags: `[POS, NEG]` * `emotions` - Tags text with phrases describing emotion: Output tags: `[happiness, sadness, anger, surprise, fear]` * `highlights` - Tags text with selected highlights: Output tags: `[highlight]` * `keywords` - Tags text with selected keywords. * `sentences` - Splits sentences by text. * `action_items` - Tags text for action items.