mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-13 04:02:29 +00:00
Added some documentation and changes to .senpy files.
This commit is contained in:
parent
7250f56f17
commit
140ea9c159
@ -60,4 +60,4 @@ class unifiedPlugin(SentimentPlugin):
|
||||
unified["emotions"] = emo_response.entries[0]["emotions"]
|
||||
response.entries.append(unified)
|
||||
|
||||
return response
|
||||
return response
|
||||
|
@ -14,14 +14,14 @@
|
||||
"sentiments-plugin": {
|
||||
"aliases": ["sentiplug"],
|
||||
"required": true,
|
||||
"options": ["meaningCloud","sentiText","vaderSentiment"],
|
||||
"default": "sentiText"
|
||||
"options": ["sentiment-meaningCloud","sentiment-tass","sentiment-vader"],
|
||||
"default": "sentiment-tass"
|
||||
},
|
||||
"emotions-plugin": {
|
||||
"aliases": ["emoplug"],
|
||||
"required": true,
|
||||
"options": ["EmoTextWAF","EmoTextANEW"],
|
||||
"default": "EmoTextANEW"
|
||||
"options": ["emotion-wnaffect","emotion-anew"],
|
||||
"default": "emotion-anew"
|
||||
},
|
||||
"endpoint": {
|
||||
"aliases": ["endpoint"],
|
||||
@ -36,5 +36,5 @@
|
||||
|
||||
|
||||
},
|
||||
"requirements": {},
|
||||
"requirements": {}
|
||||
}
|
||||
|
41
emotion-wnaffect/README.md
Normal file
41
emotion-wnaffect/README.md
Normal file
@ -0,0 +1,41 @@
|
||||
|
||||
# WordNet-Affect plugin
|
||||
|
||||
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:
|
||||
|
||||
- anger : general-dislike
|
||||
- fear : negative-fear
|
||||
- disgust : shame
|
||||
- joy : gratitude, affective, enthusiasm, love, joy, liking
|
||||
- sadness : ingrattitude, daze, humlity, compassion, despair, anxiety, sadness
|
||||
|
||||
## Usage
|
||||
|
||||
The parameters accepted are:
|
||||
|
||||
- Language: English (en).
|
||||
- Input: Text to analyse.
|
||||
|
||||
Example request:
|
||||
```
|
||||
http://senpy.cluster.gsi.dit.upm.es/api/?algo=emotion-wnaffect&language=en&input=I%20love%20Madrid
|
||||
```
|
||||
|
||||
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.
|
||||
|
||||
|
||||
The response of this plugin uses [Onyx ontology](https://www.gsi.dit.upm.es/ontologies/onyx/) developed at GSI UPM for semantic web.
|
||||
|
||||
This plugin uses WNAffect labels for emotion analysis.
|
||||
|
||||
The emotion-wnaffect.senpy file can be copied and modified to use different versions of wnaffect with the same python code.
|
||||
|
||||
|
||||
## Known issues
|
||||
|
||||
- This plugin uses the pattern library, which means it will only run on python 2.7
|
||||
- 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.
|
||||
|
||||
![alt GSI Logo][logoGSI]
|
||||
|
||||
[logoGSI]: http://www.gsi.dit.upm.es/images/stories/logos/gsi.png "GSI Logo"
|
@ -1,10 +0,0 @@
|
||||
This plugin uses WNAffect labels for emotion analysis.
|
||||
|
||||
The emotion-wnaffect.senpy file can be copied and modified to use different versions of wnaffect with the same python code.
|
||||
|
||||
|
||||
Known issues
|
||||
============
|
||||
|
||||
* This plugin uses the pattern library, which means it will only run on python 2.7
|
||||
* 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.
|
@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "emotion-wnaffect",
|
||||
"module": "emotion-wnaffect",
|
||||
"description": "Emotion classifier using rule-based classification.",
|
||||
"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)",
|
||||
"author": "@icorcuera @balkian",
|
||||
"version": "0.2",
|
||||
"extra_params": {
|
||||
|
@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "sentiment-basic",
|
||||
"module": "sentiment-basic",
|
||||
"description": "Sentiment classifier using rule-based classification for Spanish. Based on english to spanish translation and SentiWordNet sentiment knowledge.",
|
||||
"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.",
|
||||
"author": "github.com/nachtkatze",
|
||||
"version": "0.1",
|
||||
"extra_params": {
|
||||
|
@ -13,7 +13,6 @@ class DaedalusPlugin(SentimentPlugin):
|
||||
def activate(self, *args, **kwargs):
|
||||
pass
|
||||
|
||||
|
||||
def deactivate(self, *args, **kwargs):
|
||||
self.close()
|
||||
|
@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "meaningCloud",
|
||||
"name": "sentiment-meaningCloud",
|
||||
"module": "sentiment-meaningCloud",
|
||||
"description": "Sentiment analysis with meaningCloud service",
|
||||
"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.",
|
||||
"author": "GSI UPM",
|
||||
"version": "1.0",
|
||||
"extra_params": {
|
||||
@ -23,5 +23,6 @@
|
||||
}
|
||||
|
||||
},
|
||||
"requirements": {},
|
||||
"requirements": {}
|
||||
|
||||
}
|
Loading…
Reference in New Issue
Block a user