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Add new taiger plugin
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J. Fernando Sánchez
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commit
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@ -1,6 +1,9 @@
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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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Proxy for two of Taiger's sentiment analysis services for social media posts:
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* 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.
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* taiger3c-plugin: it uses a simpler service that only returns a polarity (positive, negative or none). It only works for Spanish.
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## Usage
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@ -8,18 +11,19 @@ Service that analyzes sentiments from social posts written in Spanish or English
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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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curl http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing
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#Or, for the taiger3c plugin:
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curl http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger3c&inputText=Me%20encanta
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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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This plugin follows the senpy schema and vocabularies, please visit [senpy documentation](http://senpy.readthedocs.io). Specifically, the NIF API section.
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It should look like this:
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```
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{
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@ -53,7 +57,8 @@ For example, this would be the example respond for the request done.
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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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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.
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Moreover, the plugin retrieves a `marl:polarityValue` (a value between -1 and 1).
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This plugin supports **python2.7** and **python3**.
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![alt GSI Logo][logoGSI]
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@ -8,4 +8,4 @@ services:
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volumes:
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- ".:/senpy-plugins"
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environment:
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TAIGER_ENDPOINT: 'http://34.244.91.7:8080/sentiment/classifyPositivity'
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TAIGER_ENDPOINT: "${TAIGER_ENDPOINT:-http://somedi-taiger.hopto.org:5406/es_sentiment_analyzer_3classes}"
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164
sentiment-taiger/taiger3c_plugin.py
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164
sentiment-taiger/taiger3c_plugin.py
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@ -0,0 +1,164 @@
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# -*- coding: utf-8 -*-
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import time
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import requests
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import json
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import string
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import os
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from os import path
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import time
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from senpy.plugins import SentimentPlugin
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from senpy.models import Results, Entry, Entity, Topic, Sentiment, Error
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TAIGER_ENDPOINT = os.environ.get("TAIGER3C_ENDPOINT", 'http://somedi-taiger.hopto.org:5406/es_sentiment_analyzer_3classes')
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class TaigerPlugin3cats(SentimentPlugin):
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'''
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Service that analyzes sentiments from social posts written in Spanish or English.
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Example request:
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http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger3c&inputText=This%20is%20amazing
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'''
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name = 'sentiment-taiger3c'
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author = 'GSI UPM'
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version = "0.1"
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maxPolarityValue = -1
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minPolarityValue = 1
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def _polarity(self, value):
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if 'NONE' == value:
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polarity = 'marl:Neutral'
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value = 0
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elif 'N' == value:
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polarity = 'marl:Negative'
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value = -1
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elif 'P' == value:
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polarity = 'marl:Positive'
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value = 1
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else:
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raise ValueError('unknown polarity: {}'.format(value))
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print(value, 'whatsup')
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return polarity, value
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def analyse_entry(self, entry, params):
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txt = entry['nif:isString']
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api = TAIGER_ENDPOINT
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parameters = {
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'text': txt
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}
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try:
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r = requests.get(
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api, params=parameters, timeout=3)
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agg_polarity, value = self._polarity(r.text.strip())
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except requests.exceptions.Timeout:
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raise Error("No response from the API")
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except Exception as ex:
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raise Error("There was a problem with the endpoint: {}".format(ex))
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if not agg_polarity:
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raise Error('No category in response: {}'.format(ar.text))
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self.log.debug(agg_polarity)
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agg_opinion = Sentiment(
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id="Opinion0",
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marl__hasPolarity=agg_polarity,
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marl__polarityValue=value,
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)
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agg_opinion.prov(self)
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entry.sentiments.append(agg_opinion)
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yield entry
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test_cases = [
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{
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'params': {
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'algo': 'sentiment-taiger',
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'intype': 'direct',
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'expanded-jsonld': 0,
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'informat': 'text',
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'prefix': '',
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'plugin_type': 'analysisPlugin',
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'urischeme': 'RFC5147String',
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'outformat': 'json-ld',
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'conversion': 'full',
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'language': 'en',
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'apikey': '00000',
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'algorithm': 'sentiment-taiger'
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},
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'input': 'I hate to say this',
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'expected': {
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'sentiments': [
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{'marl:hasPolarity': 'marl:Negative'}],
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},
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'responses': [
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{
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'url': TAIGER_ENDPOINT,
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'body': 'N',
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}
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]
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},
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{
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'params': {
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'algo': 'sentiment-taiger',
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'intype': 'direct',
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'expanded-jsonld': 0,
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'informat': 'text',
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'prefix': '',
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'plugin_type': 'analysisPlugin',
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'urischeme': 'RFC5147String',
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'outformat': 'json-ld',
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'conversion': 'full',
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'language': 'en',
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'apikey': '00000',
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'algorithm': 'sentiment-taiger'
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},
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'input': 'This is amazing',
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'expected': {
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'sentiments': [
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{'marl:hasPolarity': 'marl:Positive'}],
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},
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'responses': [
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{
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'url': TAIGER_ENDPOINT,
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'body': 'P',
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}
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]
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},
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{
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'params': {
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'algo': 'sentiment-taiger',
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'intype': 'direct',
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'expanded-jsonld': 0,
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'informat': 'text',
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'prefix': '',
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'plugin_type': 'analysisPlugin',
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'urischeme': 'RFC5147String',
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'outformat': 'json-ld',
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'conversion': 'full',
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'language': 'en',
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'apikey': '00000',
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'algorithm': 'sentiment-taiger'
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},
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'input': 'The pillow is in the wardrobe',
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'expected': {
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'sentiments': [
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{'marl:hasPolarity': 'marl:Neutral'}],
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},
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'responses': [
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{
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'url': TAIGER_ENDPOINT,
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'body': 'NONE',
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}
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]
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}
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]
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if __name__ == '__main__':
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from senpy import easy_test
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easy_test(debug=False)
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@ -25,8 +25,8 @@ class TaigerPlugin(SentimentPlugin):
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name = 'sentiment-taiger'
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author = 'GSI UPM'
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version = "0.1"
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maxPolarityValue = 0
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minPolarityValue = -10
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maxPolarityValue = -1
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minPolarityValue = 1
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def _polarity(self, value):
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