# Senpy Plugin Taiger Proxy for two of Taiger's sentiment analysis services for social media posts: * taiger-plugin: proxy for a service that normalizes the text, and gives both a polarity and a polarity value for the text. It works for Spanish and English text. * taiger3c-plugin: it uses a simpler service that only returns a polarity (positive, negative or none). It only works for Spanish. ## Usage To use this plugin, you should use a GET Requests with the following possible params: Params: - Input: text to analyse.(required) ## Example of Usage Example request: ``` curl http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing #Or, for the taiger3c plugin: curl http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger3c&inputText=Me%20encanta ``` This plugin follows the senpy schema and vocabularies, please visit [senpy documentation](http://senpy.readthedocs.io). Specifically, the NIF API section. It should look like this: ``` { "@context": "http://localhost:5005/api/contexts/Results.jsonld", "@id": "_:Results_1532449339.5887764", "@type": "results", "analysis": [ "endpoint:plugins/sentiment-taiger_0.1" ], "entries": [ { "@id": "#", "@type": "entry", "emotions": [], "entities": [], "nif:isString": "This is amazing", "sentiments": [ { "@id": "Opinion0", "@type": "sentiment", "marl:hasPolarity": "marl:Positive", "marl:polarityValue": -1.4646806570973374, "normalizedText": "This is amazing", "prov:wasGeneratedBy": "endpoint:plugins/sentiment-taiger_0.1" } ], "suggestions": [], "topics": [] } ] } ``` As can be seen, this plugin analyzes sentiment giving three categories or tags: `marl:Positive`, `marl:Neutral` or `marl:Negative`, that will be held in the `marl:hasPolarity` field. Moreover, the plugin retrieves a `marl:polarityValue` (a value between -1 and 1). This plugin supports **python2.7** and **python3**. ![alt GSI Logo][logoGSI] [logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"