mirror of
https://github.com/gsi-upm/senpy
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63 lines
2.0 KiB
Markdown
63 lines
2.0 KiB
Markdown
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# Senpy Plugin Taiger
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Service that analyzes sentiments from social posts written in Spanish or English.
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## Usage
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To use this plugin, you should use a GET Requests with the following possible params:
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Params:
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- Input: text to analyse.(required)
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- Endpoint: Enpoint to the Taiger service.
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## Example of Usage
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Example request:
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```
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http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing
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```
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Example respond: This plugin follows the standard for the senpy plugin response. For more information, please visit [senpy documentation](http://senpy.readthedocs.io). Specifically, NIF API section.
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For example, this would be the example respond for the request done.
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```
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{
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"@context": "http://localhost:5005/api/contexts/Results.jsonld",
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"@id": "_:Results_1532449339.5887764",
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"@type": "results",
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"analysis": [
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"endpoint:plugins/sentiment-taiger_0.1"
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],
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"entries": [
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{
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"@id": "#",
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"@type": "entry",
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"emotions": [],
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"entities": [],
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"nif:isString": "This is amazing",
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"sentiments": [
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{
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"@id": "Opinion0",
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"@type": "sentiment",
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"marl:hasPolarity": "marl:Positive",
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"marl:polarityValue": -1.4646806570973374,
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"normalizedText": "This is amazing",
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"prov:wasGeneratedBy": "endpoint:plugins/sentiment-taiger_0.1"
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}
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],
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"suggestions": [],
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"topics": []
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}
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]
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}
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```
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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`.
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This plugin supports **python2.7** and **python3**.
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![alt GSI Logo][logoGSI]
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[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"
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