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Addapted plugins to senpy 0.8.2
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@ -4,7 +4,7 @@ This plugin allows to choose sentiment and emotion plugins to retrieve a respons
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You can adjust the parameters of the plugin as follows:
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- Sentiments plugins: EmoTextANEW, EmoTextWAF(only english)
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- Emotions plugins: sentiText, vaderSentiment,meaningCloud(requires API KEY)
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- Sentiments plugins: emotion-wnaffect, emotion-anew(only english)
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- Emotions plugins: sentiment-tass, sentiment-vader,sentiment-meaningCloud(requires API KEY)
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- Endpoint: the endpoint where the used plugins are. (default: http://senpy.cluster.gsi.dit.upm.es/api/)
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- Language: english(en) or spanish(es)
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@ -14,14 +14,6 @@ logger = logging.getLogger(__name__)
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class unifiedPlugin(SentimentPlugin):
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def activate(self, *args, **kwargs):
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pass
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def deactivate(self, *args, **kwargs):
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self.save()
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def analyse(self, **kwargs):
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params = dict(kwargs)
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txt = params["input"]
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@ -26,7 +26,6 @@
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"endpoint": {
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"aliases": ["endpoint"],
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"required": true,
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"options": ["http://senpy.cluster.gsi.dit.upm.es/api/"],
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"default": "http://senpy.cluster.gsi.dit.upm.es/api/"
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},
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"apiKey": {
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@ -4,13 +4,6 @@
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"description": "Emotion classifier using WordNet-Affect to calculate the percentage of each emotion. This plugin classifies among 6 emotions: anger,fear,disgust,joy,sadness or neutral. The only available language is English (en)",
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"author": "@icorcuera @balkian",
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"version": "0.2",
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"extra_params": {
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"language": {
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"aliases": ["language", "l"],
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"required": true,
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"default": "en"
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}
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},
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"synsets_path": "/data/emotion-wnaffect/a-synsets.xml",
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"hierarchy_path": "/data/emotion-wnaffect/a-hierarchy.xml",
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"wn16_path": "/data/emotion-wnaffect/wordnet1.6/dict",
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@ -7,7 +7,7 @@ from senpy.models import Results, Sentiment, Entry
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class Sentiment140Plugin(SentimentPlugin):
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def analyse(self,entry,params):
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def analyse_entry(self,entry,params):
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lang = params.get("language", "auto")
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res = requests.post("http://www.sentiment140.com/api/bulkClassifyJson",
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@ -1,7 +1,7 @@
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{
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"name": "sentiment-140",
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"module": "sentiment-140",
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"description": "What my plugin broadly does",
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"description": "Sentiment classifier using rule-based classification for English and Spanish. This plugin uses sentiment140 data to perform classification. For more information: http://help.sentiment140.com/for-students/",
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"author": "@balkian",
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"version": "0.1",
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"extra_params": {
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@ -113,7 +113,7 @@ class SentiTextPlugin(SentimentPlugin):
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break
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lang = params.get("language", "auto")
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lang = params.get("language", "en")
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p = params.get("prefix", None)
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for i in scores:
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@ -4,14 +4,6 @@
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"description": "Sentiment classifier using rule-based classification for Spanish. Based on english to spanish translation and SentiWordNet sentiment knowledge. This is a demo plugin that uses only some features from the TASS 2015 classifier. To use the entirely functional classifier you can use the service in: http://senpy.cluster.gsi.dit.upm.es.",
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"author": "github.com/nachtkatze",
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"version": "0.1",
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"extra_params": {
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"language": {
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"aliases": ["language", "l"],
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"required": true,
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"options": ["es"],
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"default": "es"
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}
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},
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"requirements": [
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"nltk>=3.0.5",
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"scipy>=0.14.0",
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@ -13,11 +13,17 @@ class DaedalusPlugin(SentimentPlugin):
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def analyse_entry(self, entry, params):
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txt = entry.get("text",None)
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model = params["model"] # general_es / general_es / general_fr
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model = "general" # general_es / general_es / general_fr
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api = 'http://api.meaningcloud.com/sentiment-2.1'
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lang = params.get("language")
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key = params["apiKey"]
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parameters = {'key': key,'model': model,'lang': lang,'of': 'json','txt': txt,'src': 'its-not-a-real-python-sdk'}
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parameters = {'key': key,
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'model': model,
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'lang': lang,
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'of': 'json',
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'txt': txt,
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'src': 'its-not-a-real-python-sdk'
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}
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r = requests.post(api, params=parameters)
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value = r.json().get('score_tag', None)
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@ -11,12 +11,6 @@
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"options": ["en","es"],
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"default": "en"
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},
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"model": {
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"aliases": ["model"],
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"required": true,
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"options": ["general"],
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"default": "general"
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},
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"apiKey":{
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"aliases":["meaningCloud-key","apiKey"],
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"required":true
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