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.. | ||
docker-compose.yml | ||
README.md | ||
taiger3c_plugin.py | ||
taiger_plugin.py |
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.