mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-14 04:32:29 +00:00
Taiger
This commit is contained in:
J. Fernando Sánchez
parent
666632a032
commit
6d3fc6f861
7
Makefile
7
Makefile
@ -3,19 +3,20 @@ NAME=senpycommunity
|
||||
REPO=gsiupm
|
||||
PLUGINS= $(filter %/, $(wildcard */))
|
||||
IMAGENAME=gsiupm/senpy-plugins-community
|
||||
DOCKER_FLAGS=
|
||||
DOCKER_FLAGS=-e MOCK_REQUESTS=$(MOCK_REQUESTS)
|
||||
DEV_PORT?=5000
|
||||
|
||||
ifdef SENPY_FOLDER
|
||||
DOCKER_FLAGS+= -v $(realpath $(SENPY_FOLDER)):/usr/src/app/
|
||||
endif
|
||||
|
||||
|
||||
all: build run
|
||||
|
||||
test-fast:
|
||||
test-fast-%:
|
||||
docker run $(DOCKER_FLAGS) -v $$PWD/$*:/senpy-plugins/ -v $$PWD/data:/data/ --rm $(IMAGEWTAG) --only-test $(TEST_FLAGS)
|
||||
|
||||
test-fast: test-fast-/
|
||||
|
||||
test: docker-build test-fast
|
||||
|
||||
dev:
|
||||
|
||||
62
sentiment-taiger/README.md
Normal file
62
sentiment-taiger/README.md
Normal file
@ -0,0 +1,62 @@
|
||||
# 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](http://senpy.readthedocs.io). 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**.
|
||||
|
||||
![alt GSI Logo][logoGSI]
|
||||
|
||||
[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"
|
||||
|
||||
11
sentiment-taiger/docker-compose.yml
Normal file
11
sentiment-taiger/docker-compose.yml
Normal file
@ -0,0 +1,11 @@
|
||||
version: '3'
|
||||
services:
|
||||
dev:
|
||||
image: gsiupm/senpy:latest
|
||||
working_dir: "/senpy-plugins"
|
||||
ports:
|
||||
- "127.0.0.1:5005:5000"
|
||||
volumes:
|
||||
- ".:/senpy-plugins"
|
||||
environment:
|
||||
TAIGER_ENDPOINT: 'http://34.244.91.7:8080/sentiment/classifyPositivity'
|
||||
176
sentiment-taiger/taiger_plugin.py
Normal file
176
sentiment-taiger/taiger_plugin.py
Normal file
@ -0,0 +1,176 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import time
|
||||
import requests
|
||||
import json
|
||||
import string
|
||||
import os
|
||||
from os import path
|
||||
import time
|
||||
from senpy.plugins import SentimentPlugin
|
||||
from senpy.models import Results, Entry, Entity, Topic, Sentiment, Error
|
||||
|
||||
|
||||
TAIGER_ENDPOINT = os.environ.get("TAIGER_ENDPOINT", 'http://134.244.91.7:8080/sentiment/classifyPositivity')
|
||||
|
||||
|
||||
class TaigerPlugin(SentimentPlugin):
|
||||
'''
|
||||
Service that analyzes sentiments from social posts written in Spanish or English.
|
||||
|
||||
Example request:
|
||||
|
||||
http://senpy.cluster.gsi.dit.upm.es/api/?algo=sentiment-taiger&inputText=This%20is%20amazing
|
||||
'''
|
||||
name = 'sentiment-taiger'
|
||||
author = 'GSI UPM'
|
||||
version = "0.1"
|
||||
maxPolarityValue = 0
|
||||
minPolarityValue = -10
|
||||
|
||||
def _polarity(self, value):
|
||||
|
||||
if 'neu' in value:
|
||||
polarity = 'marl:Neutral'
|
||||
elif 'neg' in value:
|
||||
polarity = 'marl:Negative'
|
||||
elif 'pos' in value:
|
||||
polarity = 'marl:Positive'
|
||||
return polarity
|
||||
|
||||
def analyse_entry(self, entry, params):
|
||||
|
||||
txt = entry['nif:isString']
|
||||
api = TAIGER_ENDPOINT
|
||||
parameters = {
|
||||
'inputText': txt
|
||||
}
|
||||
try:
|
||||
r = requests.get(
|
||||
api, params=parameters, timeout=3)
|
||||
api_response = r.json()
|
||||
except requests.exceptions.Timeout:
|
||||
raise Error("No response from the API")
|
||||
except Exception as ex:
|
||||
raise Error("There was a problem with the endpoint: {}".format(ex))
|
||||
if not api_response.get('positivityCategory'):
|
||||
raise Error('No positive category in response: {}'.format(r.json()))
|
||||
self.log.debug(api_response)
|
||||
agg_polarity = self._polarity(api_response.get('positivityCategory'))
|
||||
normalized_text = api_response.get('normalizedText', None)
|
||||
agg_opinion = Sentiment(
|
||||
id="Opinion0",
|
||||
marl__hasPolarity=agg_polarity,
|
||||
marl__polarityValue=api_response['positivityScore']
|
||||
)
|
||||
agg_opinion["normalizedText"] = api_response['normalizedText']
|
||||
agg_opinion.prov(self)
|
||||
entry.sentiments.append(agg_opinion)
|
||||
|
||||
yield entry
|
||||
|
||||
test_cases = [
|
||||
{
|
||||
'params': {
|
||||
'algo': 'sentiment-taiger',
|
||||
'intype': 'direct',
|
||||
'expanded-jsonld': 0,
|
||||
'informat': 'text',
|
||||
'prefix': '',
|
||||
'plugin_type': 'analysisPlugin',
|
||||
'urischeme': 'RFC5147String',
|
||||
'outformat': 'json-ld',
|
||||
'conversion': 'full',
|
||||
'language': 'en',
|
||||
'apikey': '00000',
|
||||
'algorithm': 'sentiment-taiger'
|
||||
},
|
||||
'input': 'I hate to say this',
|
||||
'expected': {
|
||||
'sentiments': [
|
||||
{'marl:hasPolarity': 'marl:Negative'}],
|
||||
},
|
||||
'responses': [
|
||||
{
|
||||
'url': TAIGER_ENDPOINT,
|
||||
'json': {
|
||||
"inputText": "I hate to say this",
|
||||
"normalizedText": "I hate to say this",
|
||||
"positivityScore": -1.8951251587831475,
|
||||
"positivityCategory": "neg"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
'params': {
|
||||
'algo': 'sentiment-taiger',
|
||||
'intype': 'direct',
|
||||
'expanded-jsonld': 0,
|
||||
'informat': 'text',
|
||||
'prefix': '',
|
||||
'plugin_type': 'analysisPlugin',
|
||||
'urischeme': 'RFC5147String',
|
||||
'outformat': 'json-ld',
|
||||
'conversion': 'full',
|
||||
'language': 'en',
|
||||
'apikey': '00000',
|
||||
'algorithm': 'sentiment-taiger'
|
||||
},
|
||||
'input': 'This is amazing',
|
||||
'expected': {
|
||||
'sentiments': [
|
||||
{'marl:hasPolarity': 'marl:Positive'}],
|
||||
},
|
||||
'responses': [
|
||||
{
|
||||
'url': TAIGER_ENDPOINT,
|
||||
'json': {
|
||||
"inputText": "This is amazing ",
|
||||
"normalizedText": "This is amazing",
|
||||
"positivityScore": -1.4646806570973374,
|
||||
"positivityCategory": "pos"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
'params': {
|
||||
'algo': 'sentiment-taiger',
|
||||
'intype': 'direct',
|
||||
'expanded-jsonld': 0,
|
||||
'informat': 'text',
|
||||
'prefix': '',
|
||||
'plugin_type': 'analysisPlugin',
|
||||
'urischeme': 'RFC5147String',
|
||||
'outformat': 'json-ld',
|
||||
'conversion': 'full',
|
||||
'language': 'en',
|
||||
'apikey': '00000',
|
||||
'algorithm': 'sentiment-taiger'
|
||||
},
|
||||
'input': 'The pillow is in the wardrobe',
|
||||
'expected': {
|
||||
'sentiments': [
|
||||
{'marl:hasPolarity': 'marl:Neutral'}],
|
||||
},
|
||||
'responses': [
|
||||
{
|
||||
'url': TAIGER_ENDPOINT,
|
||||
'json': {
|
||||
"inputText": "The pillow is in the wardrobe",
|
||||
"normalizedText": "The pillow is in the wardrobe",
|
||||
"positivityScore": -2.723999097522657,
|
||||
"positivityCategory": "neu"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
]
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
from senpy import easy_test
|
||||
easy_test()
|
||||
Loading…
Reference in New Issue
Block a user