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https://github.com/gsi-upm/senpy
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Added some documentation and changes to .senpy files.
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@ -60,4 +60,4 @@ class unifiedPlugin(SentimentPlugin):
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unified["emotions"] = emo_response.entries[0]["emotions"]
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response.entries.append(unified)
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return response
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return response
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@ -14,14 +14,14 @@
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"sentiments-plugin": {
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"aliases": ["sentiplug"],
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"required": true,
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"options": ["meaningCloud","sentiText","vaderSentiment"],
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"default": "sentiText"
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"options": ["sentiment-meaningCloud","sentiment-tass","sentiment-vader"],
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"default": "sentiment-tass"
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},
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"emotions-plugin": {
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"aliases": ["emoplug"],
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"required": true,
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"options": ["EmoTextWAF","EmoTextANEW"],
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"default": "EmoTextANEW"
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"options": ["emotion-wnaffect","emotion-anew"],
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"default": "emotion-anew"
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},
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"endpoint": {
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"aliases": ["endpoint"],
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@ -36,5 +36,5 @@
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},
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"requirements": {},
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"requirements": {}
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}
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41
emotion-wnaffect/README.md
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41
emotion-wnaffect/README.md
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@ -0,0 +1,41 @@
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# WordNet-Affect plugin
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This plugin uses WordNet-Affect (http://wndomains.fbk.eu/wnaffect.html) to calculate the percentage of each emotion. The plugin classifies among five diferent emotions: anger, fear, disgust, joy and sadness. It is has been used a emotion mapping enlarge the emotions:
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- anger : general-dislike
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- fear : negative-fear
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- disgust : shame
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- joy : gratitude, affective, enthusiasm, love, joy, liking
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- sadness : ingrattitude, daze, humlity, compassion, despair, anxiety, sadness
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## Usage
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The parameters accepted are:
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- Language: English (en).
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- Input: Text to analyse.
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Example request:
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```
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http://senpy.cluster.gsi.dit.upm.es/api/?algo=emotion-wnaffect&language=en&input=I%20love%20Madrid
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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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The response of this plugin uses [Onyx ontology](https://www.gsi.dit.upm.es/ontologies/onyx/) developed at GSI UPM for semantic web.
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This plugin uses WNAffect labels for emotion analysis.
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The emotion-wnaffect.senpy file can be copied and modified to use different versions of wnaffect with the same python code.
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## Known issues
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- This plugin uses the pattern library, which means it will only run on python 2.7
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- Wnaffect and corpora files are not included in the repository, but can be easily added either to the docker image (using a volume) or in a new docker image.
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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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@ -1,10 +0,0 @@
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This plugin uses WNAffect labels for emotion analysis.
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The emotion-wnaffect.senpy file can be copied and modified to use different versions of wnaffect with the same python code.
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Known issues
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============
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* This plugin uses the pattern library, which means it will only run on python 2.7
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* Wnaffect and corpora files are not included in the repository, but can be easily added either to the docker image (using a volume) or in a new docker image.
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@ -1,7 +1,7 @@
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{
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"name": "emotion-wnaffect",
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"module": "emotion-wnaffect",
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"description": "Emotion classifier using rule-based classification.",
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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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@ -1,7 +1,7 @@
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{
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"name": "sentiment-basic",
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"module": "sentiment-basic",
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"description": "Sentiment classifier using rule-based classification for Spanish. Based on english to spanish translation and SentiWordNet sentiment knowledge.",
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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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@ -13,7 +13,6 @@ class DaedalusPlugin(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.close()
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@ -1,7 +1,7 @@
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{
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"name": "meaningCloud",
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"name": "sentiment-meaningCloud",
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"module": "sentiment-meaningCloud",
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"description": "Sentiment analysis with meaningCloud service",
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"description": "Sentiment analysis with meaningCloud service. To use this plugin, you need to obtain an API key from meaningCloud signing up here: https://www.meaningcloud.com/developer/login. When you had obtained the meaningCloud API Key, you have to provide it to the plugin, using param apiKey. Example request: http://senpy.cluster.gsi.dit.upm.es/api/?algo=meaningCloud&language=en&apiKey=<put here your API key>&input=I%20love%20Madrid.",
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"author": "GSI UPM",
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"version": "1.0",
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"extra_params": {
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@ -23,5 +23,6 @@
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}
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},
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"requirements": {},
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"requirements": {}
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}
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