Update schema examples

MANIFEST.in

@@ -2,9 +2,10 @@ include requirements.txt
 include test-requirements.txt
 include extra-requirements.txt
 include README.rst
+include LICENSE.txt
 include senpy/VERSION
 graft senpy/plugins
 graft senpy/schemas
 graft senpy/templates
 graft senpy/static
-graft img
+graft img

docs/development.rst

@@ -2,11 +2,7 @@ Developing new services
 -----------------------
 
 Developing web services can be hard.
-To illustrate it, the figure below summarizes the typical features in a text analysis service.
-
-.. image:: senpy-framework.png
-  :width: 60%
-  :align: center
+A text analysis service must implement all the typical features, such as: extraction of parameters, validation, format conversion, visualization...
 
 Senpy implements all the common blocks, so developers can focus on what really matters: great analysis algorithms that solve real problems.
 Among other things, Senpy takes care of these tasks:
@@ -24,4 +20,5 @@ Sharing your sentiment analysis with the world has never been easier!
     :maxdepth: 1
 
     plugins-quickstart
-    plugins-faq
+    plugins-faq
+    plugins-definition

docs/examples.rst

@@ -26,20 +26,7 @@ Representation
 ,,,,,,,,,,,,,,
 
 .. literalinclude:: examples/results/example-sentiment.json
-   :emphasize-lines: 5-10,25-33
-   :language: json-ld
-
-Suggestion Mining
-.................
-Description
-,,,,,,,,,,,
-The suggestions schema represented below shows the suggestions detected in the text. Within it, we can find the NIF fields highlighted that corresponds to the text of the detected suggestion. 
-
-Representation
-,,,,,,,,,,,,,,
-
-.. literalinclude:: examples/results/example-suggestion.json
-   :emphasize-lines: 5-8,22-27
+   :emphasize-lines: 5-11,20-30
    :language: json-ld
 
 Emotion Analysis
@@ -53,28 +40,6 @@ Representation
 
 .. literalinclude:: examples/results/example-emotion.json
    :language: json-ld
-   :emphasize-lines: 5-8,25-37
-
-Named Entity Recognition
-........................
-Description
-,,,,,,,,,,,
-The Named Entity Recognition is represented as follows. In this particular case, it can be seen within the entities array the entities recognised. For the example input, Microsoft and Windows Phone are the ones detected. 
-Representation
-,,,,,,,,,,,,,,
-
-.. literalinclude:: examples/results/example-ner.json
-   :emphasize-lines: 5-8,19-34
-   :language: json-ld
+   :emphasize-lines: 5-11,22-36
 
-Complete example
-................
-Description
-,,,,,,,,,,,
-This example covers all of the above cases, integrating all the annotations in the same document.
 
-Representation
-,,,,,,,,,,,,,,
-
-.. literalinclude:: examples/results/example-complete.json
-   :language: json-ld

docs/examples/results/example-emotion.json

@@ -17,10 +17,6 @@
         "nif:Context"
       ],
       "nif:isString": "Dear Microsoft, put your Windows Phone on your newest #open technology program. You'll be awesome. #opensource",
-      "entities": [
-      ],
-      "suggestions": [
-      ],
       "sentiments": [
       ],
       "emotions": [

docs/examples/results/example-sentiment.json

@@ -17,10 +17,6 @@
         "nif:Context"
       ],
       "nif:isString": "Dear Microsoft, put your Windows Phone on your newest #open technology program. You'll be awesome. #opensource",
-      "entities": [
-      ],
-      "suggestions": [
-      ],
       "sentiments": [
         {
           "@id": "http://micro.blog/status1#char=80,97",
@@ -32,7 +28,7 @@
           "prov:wasGeneratedBy": "_:SAnalysis1_Activity"
         }
       ],
-      "emotionSets": [
+      "emotions": [
       ]
     }
   ]

docs/plugins-faq.rst

@@ -8,7 +8,7 @@ F.A.Q.
 What are annotations?
 #####################
 They are objects just like entries.
-Senpy ships with several default annotations, including: ``Sentiment``, ``Emotion``, ``EmotionSet``...jk bb
+Senpy ships with several default annotations, including ``Sentiment`` and ``Emotion``.
 
 
 What's a plugin made of?