diff --git a/Makefile b/Makefile
index 235edad..d89412a 100644
--- a/Makefile
+++ b/Makefile
@@ -38,7 +38,7 @@ dirs: ## create the dirs in working dir
 	@-mkdir -p output/erase-replace/
 	@-mkdir -p ocr/
 	@-mkdir -p hocr/
-	@echo $(color_r)'Directories made': ocr/ hocr/ images/ images-tiff/ output/ 
+	@echo $(color_r)'Directories made': ocr/ hocr/ images/ images-tiff/ output/
 
 
 testif:
@@ -72,7 +72,7 @@ hocrs: ## hocr with tesseract and then change extension to .html
 
 #OUTPUT GENERATION RECIPES
 
-output/reading_structure/index.html: ocr/output.txt ## Analyzes OCR'ed text using a Part of Speech (POS) tagger. Outputs a string of tags (e.g. nouns, verbs, adjectives, and adverbs). Dependencies: python3's nltk, jinja2, weasyprint
+reading_structure: ocr/output.txt ## Analyzes OCR'ed text using a Part of Speech (POS) tagger. Outputs a string of tags (e.g. nouns, verbs, adjectives, and adverbs). Dependencies: python3's nltk, jinja2, weasyprint
 	mkdir -p output/reading_structure
 	cp src/reading_structure/jquery.min.js output/reading_structure
 	cp src/reading_structure/script.js output/reading_structure
@@ -80,6 +80,7 @@ output/reading_structure/index.html: ocr/output.txt ## Analyzes OCR'ed text usin
 	cp src/reading_structure/print.css output/reading_structure
 	cat $< | python3 src/reading_structure/reading_structure.py
 	weasyprint -s output/reading_structure/print.css output/reading_structure/index.html output/reading_structure/poster.pdf
+	x-www-browser output/reading_structure/index.html
 
 output/chatbot.txt: ocr/output.txt ## Comments a text with a simple chatbot. Dependencies: python3's chatterbot
 	cat $< | python3 src/textbotconversation.py $(@)
diff --git a/README b/README
index 75513c1..9e8a3ce 100644
--- a/README
+++ b/README
@@ -52,18 +52,21 @@ Specific Dependencies:
 
 * Speech Recognition: `sudo pip3 install SpeechRecognition`
 * TermColor: `sudo pip3 install termcolor`
-* PyAudio: `pip3 install pyaudio` 
+* PyAudio: `pip3 install pyaudio`
 
 
 ## Reading the Structure: Joca
 Description: Uses OCR'ed text as an input, labels each word for Part-of-Speech, stopwords and sentiment. Then it generates a reading interface
 where words with a specific label are hidden. Output can be saved as poster, or exported as json featuring the full data set.
 
-run: `make output/reading_structure/index.html`
+run: `make reading_structure`
 
 Specific Dependencies:
 * nltk (http://www.nltk.org/install.html)
-* nltk.tokenize.punkt, ne_chunk, pos_tag, word_tokenize, sentiment.vader (https://www.nltk.org/data.html)
+* nltk.tokenize.punkt, ne_chunk, pos_tag, word_tokenize, sentiment.vader
+*
+  nltk.download('vader_lexicon')
+ (https://www.nltk.org/data.html)
 * weasyprint (http://weasyprint.readthedocs.io/en/latest/install.html)
 * jinja2 (http://jinja.pocoo.org/docs/2.10/intro/#installation)
 * font: PT Sans (os font https://www.fontsquirrel.com/fonts/pt-serif)