• Important and useful information can be extracted from reviews through opinion mining and summarization process.
• Technologies used:
•Back-end: Python 2.7
•Front-end: JavaScript, HTML5, CSS3
•Libraries: NLTK 3, PyYAML, beautifulsoup4
•Database: MySQL
•APIs: Google Maps, Yelp, TripAdvisor
Using PyYAML, BEAUTIFULSOUP, NLTK 3 we add POS tagging to reviews and visually display the results
____1) Install WAMP
____2) Install Python
-
open ...wamp\bin\apache\apacheXXXX\conf\httpd.conf, then search & replace Options Indexes FollowSymLinks with Options Indexes FollowSymLinks ExecCGI (or Options Indexes FollowSymLinks Includes ExecCGI) p.s. also, Find & ensure that LoadModule cgi_module is NOT commented.
-
search & replace #AddHandler cgi-script .cgi with (...removing # ) AddHandler cgi-script .cgi AddHandler cgi-script .py
-
Find the line: DirectoryIndex index.php index.php3 index.html index.htm and add in the end of them: index.cgi index.py Now, Restart Apache.