1
0
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:
militarpancho 2017-01-26 14:40:31 +01:00
parent 7250f56f17
commit 140ea9c159
8 changed files with 53 additions and 22 deletions

View File

@ -60,4 +60,4 @@ class unifiedPlugin(SentimentPlugin):
unified["emotions"] = emo_response.entries[0]["emotions"]
response.entries.append(unified)
return response
return response

View File

@ -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": {}
}

View 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"

View File

@ -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.

View File

@ -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": {

View File

@ -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": {

View File

@ -13,7 +13,6 @@ class DaedalusPlugin(SentimentPlugin):
def activate(self, *args, **kwargs):
pass
def deactivate(self, *args, **kwargs):
self.close()

View File

@ -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": {}
}