1
0
mirror of https://github.com/gsi-upm/senpy synced 2024-09-21 06:01:43 +00:00
senpy/sentiment-taiger
2019-01-09 19:29:24 +01:00
..
docker-compose.yml Add new taiger plugin 2019-01-09 16:18:12 +01:00
README.md Add new taiger plugin 2019-01-09 16:18:12 +01:00
taiger3c_plugin.py tweaks for py2/py3 compatibility 2019-01-09 19:29:24 +01:00
taiger_plugin.py Add new taiger plugin 2019-01-09 16:18:12 +01:00

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. 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