senpy/sentiment-taiger

Senpy Plugin Taiger

Service that analyzes sentiments from social posts written in Spanish or English.

Usage

To use this plugin, you should use a GET Requests with the following possible params: Params:

• Input: text to analyse.(required)
• Endpoint: Enpoint to the Taiger service.

Example of Usage

Example request:

http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing

Example respond: This plugin follows the standard for the senpy plugin response. For more information, please visit senpy documentation. Specifically, NIF API section.

For example, this would be the example respond for the request done.

{
    "@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 it can be seen, this plugin analyzes sentiment givin 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. This plugin supports python2.7 and python3.