First version for PyPi

requirements.txt

 Flask==0.10.1
 gunicorn==19.0.0
+requests==2.4.1

senpy/nif_server.py

@@ -15,7 +15,7 @@
 #    See the License for the specific language governing permissions and
 #    limitations under the License.
 '''
-Simple Sentiment Analysis server for EUROSENTIMENT
+Simple Sentiment Analysis server
 '''
 from flask import Blueprint, render_template, request, jsonify, current_app
 import config
@@ -42,6 +42,9 @@ PARAMS = {"input": {"aliases": ["i", "input"],
                         "required": False,
                         "options": ["json-ld"],
                         },
+          "algorithm": {"aliases": ["algorithm", "a"],
+                        "required": False,
+                        },
           "language": {"aliases": ["language", "l"],
                        "required": False,
                        "options": ["es", "en"],

senpy/plugins/sentiment140.py

+'''
+SENTIMENT140
+=============
+
+* http://www.sentiment140.com/api/bulkClassifyJson
+* Method: POST
+* Parameters: JSON Object (that is copied to the result)
+    * text
+    * query
+    * language
+    * topic
+
+* Example response:
+```json
+{"data": [{"text": "I love Titanic.", "id":1234, "polarity": 4},
+          {"text": "I hate Titanic.", "id":4567, "polarity": 0}]}
+```
+'''
+import requests
+import json
+
+ENDPOINT_URI = "http://www.sentiment140.com/api/bulkClassifyJson"
+
+def analyse(texts):
+    parameters = {"data": []}
+    if isinstance(texts, list):
+        for text in texts:
+            parameters["data"].append({"text": text})
+    else:
+        parameters["data"].append({"text": texts})
+
+    res = requests.post(ENDPOINT_URI, json.dumps(parameters))
+    res.json()
+    return res.json()
+
+def test():
+    print analyse("I love Titanic")
+    print analyse(["I love Titanic", "I hate Titanic"])
+
+if __name__ == "__main__":
+    test()