Changes to poster export

ocr/output.txt

@@ -1,101 +1,21 @@
-Any one is one having been that one Any one is such a one.
-
-Any one having been that one is one remembering something oi such a thing, is one
-remembering having been that one.
-
-Each one having been one is being one having been that one. Each one haying been
-
-one is remembering something of this thing, is remembering something or haying been
-that one
-
-Each one is one. Each one has been one. Each one being one, each one havrng been
-
-one is remembering something or that thing.
-
-Each one is one. Each one has been one. Each one is remembering that thing.
-
-Each one is one. Each one has been one. That is something that any one haying been
-
-one, any one being one is having happen Each one being one is haying it happen that
-that one is being that one. Each one having been one is one havrng had it happen that
-that one has been that one.
-
-Each one is one. Any one is the one that one is Each one is one.
-
-One who is one is remembering that she is one forgetting anything. One who is one is
-remembering that she is forgetting everything again and again She is remembering
-this thing She is not interested in this thing She is remembering this thing and she is
-remembering that this is a quite necessary thing, it is quite a necessary thing that she IS
-remembering that she is iorgetting anything.
-
-She is to getting anything This is not a disturbing thing, this is not a distressing thing,
-this is not an important thing She is iorgetting anything and she is remembering that
-thing, she is remembering that she is forgetting anything.
-
-She is ore being one remembering that she is forgetting anything She is one not
-objecting to being one remembering that thing, remembering that she is forgetting
-anything She is one objecting to there being some objecting to being ones forgetting
-anything She is one objecting to any one being one remembering that they are not
-
-iorgetting anything She is one objecting to any one objecting to her being one
-forgetting anything She is not one remembering being one objecting to any one
-objecting to her being one iorgetting anything She is one remembering that she is one
-objecting to being one remembering that they are not forgetting anything. She is one
-remembering something of being one objecting to some being one objecting to
-forgetting anything
-
-She is one forgetting anything. She is one remembering something of this thing She is
-one repeating this thing repeating remembering something of forgetting anything,
-
-She is one remembering that she has been having something. She is one remembering
-something of this thing She has been having something, she is having something, she
-is remembering something of this thing. She is not objecting to having something, she
-is having something she is remembering something of this thing
-
-She is one being that one being one having something and remembering something of
-that thing She is one being one and she is iorgetting anything and she is remembering
-being one forgetting anything.
-
-Any one she is kissing is one she is kissing then, not kissing again and again, not
-fissing and kissing, any one she is kissing is one she kissed then, is one she did kiss
-then. one she kissed some then
-
-Any one she is kissing is one needing something then, needing kissing, needing
-anytin‘ng first then, needing some kissing then. Any one she is kissing is one having
-been kissed then, having been kissed some then and she was the one who was kissing
-that one some just then Any one she was kissing was one whom she was kissing just
-
-from hows Vests to i narrating Ouhry
-
- 
-that Any one she was kissing was one who might have been needing something then,
-
-needing anything then, needing kissing then, needing a little kissing then, needing any ‘»
-Mtg anything then, needing kissing then, needing a little kissing then, needing any
-
-kiss!!!) then, needing something then, needing kissing then
-
-She was one living and remembering that she had enough for this thing, enough for
-
-than She was one remembering that she had enough for being livrng and she was
-runemben'ng that she could always be needing that thing needing having enough to be
-m She could remembering to remind herself and any one of this thing, she could
-W that thing, she could remember to be reminded of that thing. She could
-W to beone reminding herself, she could remember to be one havmg any one
-rewind her quite often of this thing that she could remember that she had enough and
-wot“ be always having enough to be livrng. She could remembering that she was
-needing this thing needing having enough always enough for livmg. She could
-rentemtler enough oi reminding any one of this thing. She could remember this thing
-rectum reminding herself of this thing. She could remember something of being
-rein-Iced of this thing. She could remember this thing, she could remember a good
-deal of knowing that she was havmg enough for berng living and that she could always
-be neodng having enough for liVing. She could remember this thing, she could qurte
-new that thing.
-
-She was one forgetting anything. She was remembering something of that thing of
-toasting anything She could always remember something of that thing, remember
-m of forgetting anything.
-
-in giving she was giving what she had then remembered to give then In gwing she
-
-
+Write it down quickly
+before I forget
+in the car with D. and N.
+cutting across America’s seasons
+muggy sunlight in Santa Barbara
+wet snow in Denver
+and in every Best Western hotel
+the TV’s flickering light
+on her dear sleeping face
+like a young girl once again
+
+but writing down the words
+alters what I want to remember
+that which had no words
+was a living breathing image
+so now I have two versions of the same
+today I can superimpose them
+but tomorrow when I’m gone
+only the words are left
+signs evoking something
+that no eye sees any more

src/reading_structure/print-adv.css

@@ -0,0 +1,97 @@
+@page {
+  /* dimensions for the whole page */
+  size: 297mm 420mm;
+  margin: 7rem 2rem 7rem 2rem;
+  background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */
+  position: absolute;
+  display: table;
+
+  @bottom-center {
+    content: 'make reading_structure';
+    font-family: 'Ubuntu Mono', monospace;
+    white-space: pre;
+    color: #000;
+    padding-bottom: 3em;
+  }
+
+}
+
+/* ---
+
+ ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR
+
+ --- */
+
+span.word_label, .adjective .word, .adverb .word  {
+  display: block;
+  opacity: 0;
+  width: 100%;
+  font-size: 1rem;
+}
+
+.adjective > .pos, .adverb > .pos {
+  color: #8e445e;
+}
+
+
+/* ---
+
+ BASIC ELEMENTS
+
+ --- */
+
+body {
+  background-color: transparent !important;
+  font-size: 20px;
+}
+
+.container {
+margin: 0 auto;
+padding: 3rem 2.5rem;
+max-width: 100% !important;
+height: 100px !important;
+background-color: transparent !important;
+border: none !important;
+
+}
+
+span.wrapper {
+  display: inline-block;
+  font-family: 'PT Serif', serif;
+  font-size: 1.5rem;
+  text-align:center;
+  position: relative;
+  margin-bottom: 1rem;
+  color: #000;
+}
+
+.action-container {
+  display: none;
+}
+
+/* ---
+
+ ELEMENTS IN .WRAPPER
+
+ --- */
+
+.word, .tag {
+  display: block;
+  position: relative;
+  margin: 0 auto;
+  clear:both;
+}
+
+.word {
+  margin-top: 0.2rem;
+}
+
+span.invisible {
+
+}
+
+span.tag {
+  color: #fff;
+  font-family: 'Ubuntu Mono', monospace;
+  font-size: 0.8rem;
+}

src/reading_structure/print-dppt.css

@@ -0,0 +1,97 @@
+@page {
+  /* dimensions for the whole page */
+  size: 297mm 420mm;
+  margin: 7rem 2rem 7rem 2rem;
+  background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */
+  position: absolute;
+  display: table;
+
+  @bottom-center {
+    content: 'make reading_structure';
+    font-family: 'Ubuntu Mono', monospace;
+    white-space: pre;
+    color: #000;
+    padding-bottom: 3em;
+  }
+
+}
+
+/* ---
+
+ ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR
+
+ --- */
+
+span.word_label, .pronoun .word, .determiner .word, .to .word, .preposition .word  {
+  display: block;
+  opacity: 0;
+  width: 100%;
+  font-size: 1rem;
+}
+
+.pronoun > .pos, .determiner > .pos, .to > .pos, .preposition > .pos {
+  color: #2f7f40;
+}
+
+
+/* ---
+
+ BASIC ELEMENTS
+
+ --- */
+
+body {
+  background-color: transparent !important;
+  font-size: 20px;
+}
+
+.container {
+margin: 0 auto;
+padding: 3rem 2.5rem;
+max-width: 100% !important;
+height: 100px !important;
+background-color: transparent !important;
+border: none !important;
+
+}
+
+span.wrapper {
+  display: inline-block;
+  font-family: 'PT Serif', serif;
+  font-size: 1.5rem;
+  text-align:center;
+  position: relative;
+  margin-bottom: 1rem;
+  color: #000;
+}
+
+.action-container {
+  display: none;
+}
+
+/* ---
+
+ ELEMENTS IN .WRAPPER
+
+ --- */
+
+.word, .tag {
+  display: block;
+  position: relative;
+  margin: 0 auto;
+  clear:both;
+}
+
+.word {
+  margin-top: 0.2rem;
+}
+
+span.invisible {
+
+}
+
+span.tag {
+  color: #fff;
+  font-family: 'Ubuntu Mono', monospace;
+  font-size: 0.8rem;
+}

src/reading_structure/print-neutral.css

@@ -0,0 +1,97 @@
+@page {
+  /* dimensions for the whole page */
+  size: 297mm 420mm;
+  margin: 7rem 2rem 7rem 2rem;
+  background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */
+  position: absolute;
+  display: table;
+
+  @bottom-center {
+    content: 'make reading_structure';
+    font-family: 'Ubuntu Mono', monospace;
+    white-space: pre;
+    color: #000;
+    padding-bottom: 3em;
+  }
+
+}
+
+/* ---
+
+ ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR
+
+ --- */
+
+span.word_label, .neutral .word {
+  display: block;
+  opacity: 0;
+  width: 100%;
+  font-size: 1rem;
+}
+
+.neutral > .sentiment {
+  color: #8491a5;
+}
+
+
+/* ---
+
+ BASIC ELEMENTS
+
+ --- */
+
+body {
+  background-color: transparent !important;
+  font-size: 20px;
+}
+
+.container {
+margin: 0 auto;
+padding: 3rem 2.5rem;
+max-width: 100% !important;
+height: 100px !important;
+background-color: transparent !important;
+border: none !important;
+
+}
+
+span.wrapper {
+  display: inline-block;
+  font-family: 'PT Serif', serif;
+  font-size: 1.5rem;
+  text-align:center;
+  position: relative;
+  margin-bottom: 1rem;
+  color: #000;
+}
+
+.action-container {
+  display: none;
+}
+
+/* ---
+
+ ELEMENTS IN .WRAPPER
+
+ --- */
+
+.word, .tag {
+  display: block;
+  position: relative;
+  margin: 0 auto;
+  clear:both;
+}
+
+.word {
+  margin-top: 0.2rem;
+}
+
+span.invisible {
+
+}
+
+span.tag {
+  color: #fff;
+  font-family: 'Ubuntu Mono', monospace;
+  font-size: 0.8rem;
+}

src/reading_structure/print-noun.css

@@ -0,0 +1,97 @@
+@page {
+  /* dimensions for the whole page */
+  size: 297mm 420mm;
+  margin: 7rem 2rem 7rem 2rem;
+  background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */
+  position: absolute;
+  display: table;
+
+  @bottom-center {
+    content: 'make output/reading_structure';
+    font-family: 'Ubuntu Mono', monospace;
+    white-space: pre;
+    color: #000;
+    padding-bottom: 3em;
+  }
+
+}
+
+/* ---
+
+ ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR
+
+ --- */
+
+span.word_label, .noun .word {
+  display: block;
+  opacity: 0;
+  width: 100%;
+  font-size: 1rem;
+}
+
+.noun > .pos {
+  color: #003cb3;
+}
+
+
+/* ---
+
+ BASIC ELEMENTS
+
+ --- */
+
+body {
+  background-color: transparent !important;
+  font-size: 20px;
+}
+
+.container {
+margin: 0 auto;
+padding: 3rem 2.5rem;
+max-width: 100% !important;
+height: 100px !important;
+background-color: transparent !important;
+border: none !important;
+
+}
+
+span.wrapper {
+  display: inline-block;
+  font-family: 'PT Serif', serif;
+  font-size: 1.5rem;
+  text-align:center;
+  position: relative;
+  margin-bottom: 1rem;
+  color: #000;
+}
+
+.action-container {
+  display: none;
+}
+
+/* ---
+
+ ELEMENTS IN .WRAPPER
+
+ --- */
+
+.word, .tag {
+  display: block;
+  position: relative;
+  margin: 0 auto;
+  clear:both;
+}
+
+.word {
+  margin-top: 0.2rem;
+}
+
+span.invisible {
+
+}
+
+span.tag {
+  color: #fff;
+  font-family: 'Ubuntu Mono', monospace;
+  font-size: 0.8rem;
+}

src/reading_structure/print-stopword.css

@@ -0,0 +1,101 @@
+@page {
+  /* dimensions for the whole page */
+  size: 297mm 420mm;
+  margin: 7rem 2rem 7rem 2rem;
+  background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */
+  position: absolute;
+  display: table;
+
+  @bottom-center {
+    content: 'make output/reading_structure';
+    font-family: 'Ubuntu Mono', monospace;
+    white-space: pre;
+    color: #000;
+    padding-bottom: 3em;
+  }
+
+}
+
+/* ---
+
+ ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR
+
+ --- */
+
+span.word_label, .stopword .word {
+  display: block;
+  opacity: 0;
+  width: 100%;
+  font-size: 1rem;
+}
+
+.stopword > .wordtype:hover, {
+  opacity: 1;
+}
+
+.stopword > .wordtype {
+  color: #b83e54;
+}
+
+
+/* ---
+
+ BASIC ELEMENTS
+
+ --- */
+
+body {
+  background-color: transparent !important;
+  font-size: 20px;
+}
+
+.container {
+margin: 0 auto;
+padding: 3rem 2.5rem;
+max-width: 100% !important;
+height: 100px !important;
+background-color: transparent !important;
+border: none !important;
+
+}
+
+span.wrapper {
+  display: inline-block;
+  font-family: 'PT Serif', serif;
+  font-size: 1.5rem;
+  text-align:center;
+  position: relative;
+  margin-bottom: 1rem;
+  color: #000;
+}
+
+.action-container {
+  display: none;
+}
+
+/* ---
+
+ ELEMENTS IN .WRAPPER
+
+ --- */
+
+.word, .tag {
+  display: block;
+  position: relative;
+  margin: 0 auto;
+  clear:both;
+}
+
+.word {
+  margin-top: 0.2rem;
+}
+
+span.invisible {
+
+}
+
+span.tag {
+  color: #fff;
+  font-family: 'Ubuntu Mono', monospace;
+  font-size: 0.8rem;
+}

src/reading_structure/print.css

@@ -1,19 +1,43 @@
 @page {
   /* dimensions for the whole page */
-  size: A3 portrait;
-  margin: 2rem 2rem 3em 2rem;
-  background-color: #003cb3;
+  size: 297mm 420mm;
+  margin: 7rem 2rem 7rem 2rem;
+  background-color: #d9d9d6; /* To emulate #dfdfdf on print at PZI Canon MFP */
+  position: absolute;
+  display: table;
 
   @bottom-center {
     content: 'make output/reading_structure';
     font-family: 'Ubuntu Mono', monospace;
     white-space: pre;
-    color: #fff;
-    padding-bottom: 2rem;
+    color: #000;
+    padding-bottom: 3em;
   }
 
 }
 
+/* ---
+
+ ELEMENTS TO CHANGE HIDDEN WORDS AND ACCENT COLOR
+
+ --- */
+
+span.word_label, .stopword .word {
+  display: block;
+  opacity: 0;
+  width: 100%;
+  font-size: 1rem;
+}
+
+.stopword > .wordtype:hover, {
+  opacity: 1;
+}
+
+.stopword > .wordtype {
+  color: #b83e54;
+}
+
+
 /* ---
 
  BASIC ELEMENTS
@@ -21,17 +45,18 @@
  --- */
 
 body {
-  background-color: none !important;
+  background-color: transparent !important;
   font-size: 20px;
 }
 
 .container {
 margin: 0 auto;
-padding: 2rem 2.5rem;
+padding: 3rem 2.5rem;
 max-width: 100% !important;
-min-height: 90% !important;
-background-color: #003cb3 !important;
+height: 100px !important;
+background-color: transparent !important;
 border: none !important;
+
 }
 
 span.wrapper {
@@ -41,7 +66,7 @@ span.wrapper {
   text-align:center;
   position: relative;
   margin-bottom: 1rem;
-  color: #fff;
+  color: #000;
 }
 
 .action-container {
@@ -71,29 +96,6 @@ span.invisible {
 
 span.tag {
   color: #fff;
-  opacity: 0.5;
   font-family: 'Ubuntu Mono', monospace;
   font-size: 0.8rem;
 }
-
-/* Show original word when hovering label */
-span.word_label, .stopword .word {
-  display: block;
-  opacity: 0;
-  width: 100%;
-  font-size: 1rem;
-}
-
-.stopword > .wordtype:hover, {
-  opacity: 1;
-  /*color: red;*/
-}
-
-.stopword > .wordtype {
-  opacity: 1;
-}
-
-/* Spacing fix for punctuation */
-.punctuation {
-  margin-left: -4px;
-}

src/reading_structure/reading_structure.py

@@ -3,9 +3,10 @@ import nltk
 import json
 import os
 from sys import stdin, stdout
-from nltk import ne_chunk, pos_tag, word_tokenize
+from nltk import pos_tag, word_tokenize
 from nltk.sentiment.vader import SentimentIntensityAnalyzer
 from nltk.corpus import stopwords
+import spacy
 from jinja2 import Template
 
 # == INPUT AND TOKENIZE ==
@@ -13,20 +14,20 @@ from jinja2 import Template
 input = stdin.read()
 words = nltk.word_tokenize(input)
 words_and_tags = {index : {'word':word} for index , word in enumerate(words)}
-print(words_and_tags)
+#print(words_and_tags)
 
-# == FILTER FUNCTIONS ==
+# == TAGGING FUNCTIONS ==
 
 # === 1. POS_tagger & Named Entity Recognizer ===
 # This function cuts a string into words. Then runs a POS tagger for each word. Returns a list with tags
 def POS_tagger(list):
     taggedwordlist = nltk.pos_tag(list)
 
-
     for word, pos in nltk.pos_tag(list):
         taggedwordlist = nltk.pos_tag(list)
         #print('{0} is a {1}'.format(word,pos)) # Comment out to print the analysis step
-        print(taggedwordlist)
+        #print(taggedwordlist)
+
     taglist = [ pos for word,pos in taggedwordlist ]
     POS_tags = []
 
@@ -35,7 +36,7 @@ def POS_tagger(list):
             POS_tag = 'noun'
         elif tag in {'VB','VBD','VBG','VBN','VBP','VBZ'}:
             POS_tag = 'verb'
-        elif tag in {'RB','RBR','RBS','WRB'}:
+        elif tag in {'RB','RBR','RBS','WRB', 'RP'}:
             POS_tag = 'adverb'
         elif tag in {'PRP','PRP$'}:
             POS_tag = 'pronoun'
@@ -68,14 +69,16 @@ def POS_tagger(list):
         elif tag == 'CD':
             POS_tag = 'cardinal number'
         elif tag == 'TO':
-            POS_tag = 'infinitival to'
+            POS_tag = 'to'
         elif tag == '.':
             POS_tag = 'line ending'
         elif tag == ',':
             POS_tag = 'comma'
         else:
             POS_tag = tag
+
         POS_tags.append(POS_tag)
+
     #print(POS_tag)
     return POS_tags;
 
@@ -113,12 +116,67 @@ def stopword_tagger(word):
 
     return stopword_tag
 
+# === 4. Named Entity tagger ===
+def ner_tagger(list):
+    ner_en = spacy.load('en_core_web_sm') # use English model for SpaCy
+    #ner_en = spacy.load('xx_ent_wiki_sm') # use multilingual model (performance was less than the English model in my use case)
+    text = " ".join(list) # Convert NLTK tokens back to string, so SpaCy can change it to its own format
+
+    ner_spacy_doc = ner_en(text)
+    ner_tags = []
+
+    for word in ner_spacy_doc:
+        #print(word.ent_type_)
+
+        if word.ent_type_ == "PERSON":
+            ner_tag = 'geographical entity'
+        elif word.ent_type_ == 'NORP':
+            ner_tag = 'group'
+        elif word.ent_type_ == 'FACILITY':
+            ner_tag = 'facility'
+        elif word.ent_type_ == 'ORG':
+            ner_tag = 'organisation'
+        elif word.ent_type_ in {'GPE','LOC'}:
+            ner_tag = 'location'
+        elif word.ent_type_ == 'PRODUCT':
+            ner_tag = 'product'
+        elif word.ent_type_ == 'EVENT':
+            ner_tag = 'event'
+        elif word.ent_type_ == 'WORK_OF_ART':
+            ner_tag = 'artwork'
+        elif word.ent_type_ == 'LAW':
+            ner_tag = 'law'
+        elif word.ent_type_ == 'LANGUAGE':
+            ner_tag = 'language'
+        elif word.ent_type_ == 'DATE':
+            ner_tag = 'date'
+        elif word.ent_type_ == 'TIME':
+            ner_tag = 'time'
+        elif word.ent_type_ == 'PERCENT':
+            ner_tag = 'percentage'
+        elif word.ent_type_ == 'MONEY':
+            ner_tag = 'monetary value'
+        elif word.ent_type_ == 'QUANTITY':
+            ner_tag = 'measurement'
+        elif word.ent_type_ == 'ORDINAL':
+            ner_tag = 'ordinal'
+        elif word.ent_type_ == 'CARDINAL':
+            ner_tag = 'numeral'
+        else:
+            ner_tag = 'no entity'
+
+        ner_tags.append(ner_tag)
+
+    print(ner_tags)
+    return ner_tags
+
 
 # Run POS tagger
-# This tagger outputs a list for all items in the dict at once
+# These tagger outputs a list for all items in the dict at once
 # To avoid double work, it is better to keep this outside the for loop
 POS_tags = POS_tagger(words)
 sentiment_tags = sentiment_tagger(words)
+ner_tags = ner_tagger(words)
 i = 0
 
 # Adding tags to words in dictionary, which will be exported as a json file
@@ -129,24 +187,28 @@ for item, value in words_and_tags.items():
     # POS
     pos_tag = POS_tags[i]
     words_and_tags[item]['POS'] = pos_tag
-    #i = i+1
 
     # Add sentiment tag
     #sentiment_tag = sentiment_tagger(word)
     #words_and_tags[item]['sentiment'] = sentiment_tag
     sentiment_tag = sentiment_tags[i]
     words_and_tags[item]['sentiment'] = sentiment_tag
+
+    # Named Entity Recognition
+    ner_tag = ner_tags[i]
+    words_and_tags[item]['named entity'] = ner_tag
+
+    # Move to the next word in the tokenized words dictionary
     i = i+1
 
     # Add stopword tag
     stopword_tag = stopword_tagger(word)
     words_and_tags[item]['wordtype'] = stopword_tag
 
-    # Add entity tag
-    # Not functional yet
 
 # Save data into a json file
-print(words_and_tags)
+#print(words_and_tags)
+
 #with open("data.json", 'w') as f:
 with open(os.path.dirname(os.path.dirname(os.path.dirname( __file__ ))) + "output/reading_structure/data.json", 'w') as f:
   json.dump(words_and_tags, f, ensure_ascii=False)
@@ -159,7 +221,7 @@ index_render = template.render(words_and_tags=words_and_tags)
 #print(text_render)
 
 # And render an html file!
-print(index_render)
+#print(index_render)
 index_open = open("output/reading_structure/index.html", "w")
 index_open.write(index_render)
 index_open.close()

src/reading_structure/script.js

@@ -28,8 +28,8 @@ $(document).ready(function(){
   var stopword_label = $('.stopword > .wordtype');
 
   // State 2 Selectors for the sentiment tagger, showing neutral words and their labels
-  var posneg_word = $('.negative > .word, .positive > .word');
-  var posneg_label = $('.negative > .sentiment, .positive > .sentiment');
+  var known_entity_word = $('.known_entity > .word, .pronoun > .word');
+  var known_entity_label = $('.known_entity > .ner, .pronoun > .pos');
 
   // State 3 Selectors for the noun taggger
   var noun_word = $('.noun > .word');
@@ -60,13 +60,17 @@ $(document).ready(function(){
       stopword_word.removeClass('word_label');
       stopword_label.addClass('invisible');
 
-      posneg_word.addClass('word_label');
-      posneg_label.removeClass('invisible');
+      $("#poster").prop("href", "poster-neutral.pdf")
+
+      known_entity_word.addClass('word_label');
+      known_entity_label.removeClass('invisible');
     }
 
     if (state == 2) {
-      posneg_word.removeClass('word_label');
-      posneg_label.addClass('invisible');
+      known_entity_word.removeClass('word_label');
+      known_entity_label.addClass('invisible');
+
+      $("#poster").prop("href", "poster-neutral.pdf")
 
       noun_word.addClass('word_label');
       noun_label.removeClass('invisible');
@@ -76,6 +80,8 @@ $(document).ready(function(){
       noun_word.removeClass('word_label');
       noun_label.addClass('invisible');
 
+      $("#poster").prop("href", "poster-neutral.pdf")
+
       ad_word.addClass('word_label');
       ad_label.removeClass('invisible');
     }
@@ -84,6 +90,8 @@ $(document).ready(function(){
       ad_word.removeClass('word_label');
       ad_label.addClass('invisible');
 
+      $("#poster").prop("href", "poster-neutral.pdf")
+
       dppt_word.addClass('word_label');
       dppt_label.removeClass('invisible');
     }
@@ -92,6 +100,8 @@ $(document).ready(function(){
       dppt_word.removeClass('word_label');
       dppt_label.addClass('invisible');
 
+      $("#poster").prop("href", "poster-neutral.pdf")
+
       neutral_word.addClass('word_label');
       neutral_label.removeClass('invisible');
     }
@@ -100,6 +110,8 @@ $(document).ready(function(){
       neutral_word.removeClass('word_label');
       neutral_label.addClass('invisible');
 
+      $("#poster").prop("href", "poster-neutral.pdf")
+
       stopword_word.addClass('word_label');
       stopword_label.removeClass('invisible');
 

src/reading_structure/style.css

@@ -5,7 +5,7 @@
  --- */
 
 body {
-  background-color: #dfdfdf;
+  background-color: #d9d9d6;
 }
 
 .container {
@@ -123,11 +123,7 @@ span.word_label {
   color: #8491a5;
 }
 
-.negative .sentiment {
-  color: #c9805b;
-}
-
-.positive .sentiment {
+.known_entity .ner, .pronoun .pos {
   color: #44a889;
 }
 

src/reading_structure/template.html

@@ -13,7 +13,8 @@
     <div class="container"><p>
       {% for item, value in words_and_tags.items() %}
 
-      <span id="{{item}}" class="wrapper {{ words_and_tags[item]['wordtype'] }} {{ words_and_tags[item]['sentiment'] }} {{ words_and_tags[item]['POS'] }}">
+      <span id="{{item}}" class="wrapper {{ words_and_tags[item]['wordtype'] }} {{ words_and_tags[item]['sentiment'] }} {{ words_and_tags[item]['POS'] }} {% if words_and_tags[item]['named entity'] == 'no entity' %} no_entity {% else %} known_entity {% endif %}">
+          <span class ="tag ner invisible"> {{ words_and_tags[item]['named entity'] }}</span>
           <span class ="tag wordtype invisible"> {{ words_and_tags[item]['wordtype'] }} </span>
           <span class ="tag sentiment invisible"> {{ words_and_tags[item]['sentiment'] }}</span>
           <span class ="tag pos invisible"> {{ words_and_tags[item]['POS'] }}</span>
@@ -26,7 +27,7 @@
 
     <div class="action-container">
       <p><a href="data.json" download>Export data as json</a> </p>
-      <p><a href="poster.pdf" download>Print this as a poster</a> </p>
+      <p><a id="poster" href="poster.pdf" download>Print this as a poster</a></p>
     </div>
 
   </body>