Add example: Sentimark - sentence-level sentiment analysis and markup.

examples/sentimark.py

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+#!/usr/bin/env python
+# coding=utf-8
+import dominate
+from dominate.tags import *
+from newspaper import Article
+from textblob import TextBlob
+
+from qutescript import userscript
+
+polarity_map = {
+    8: 'green',
+    5: 'olive',
+    2: '#333',
+    0: '#777',
+    -2: 'orange',
+    -5: 'red',
+    -8: 'brown',
+}
+
+
+def get_polarity_color(polarity):
+    for thresh in reversed(sorted(polarity_map.keys())):
+        if (polarity * 10) >= thresh:
+            return polarity_map[thresh]
+    else:
+        return '#777'
+
+
+def generate_html(paragraphs, title_text):
+    doc = dominate.document(title='Summary: {}'.format(title_text))
+
+    with doc.head:
+        style("""\
+            body {
+                background-color: #F9F8F1;
+                color: #2C232A;
+                font-family: sans-serif;
+                font-size: 1.2em;
+            }
+
+        """)
+
+    with doc:
+        div(id='header').add(h1(title_text))
+        with div():
+            attr(cls='body')
+            for para in paragraphs:
+                tb = TextBlob(para)
+                with p():
+                    for sentence in tb.sentences:
+                        span(sentence, style="color: {}".format(get_polarity_color(sentence.polarity)))
+    return doc
+
+
+@userscript
+def sentiment_markup(request):
+    article = Article(request.url)
+    # article.download(request.html, request.title)
+    article.download()
+    article.parse()
+    html = generate_html(article.text.split('\n\n'), article.title).render()
+    request.send_html(html)
+
+
+if __name__ == '__main__':
+    sentiment_markup()

examples/sentimark_requirements.txt

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+dominate
+newspaper3k
+textblob