Deliver a Google Chrome Extension that analyzes the entities (individuals, organizations, countries, etc.) contained within a news article and categorizes the most important entities as either being a hero, villain, or victim.

pip3 install newspaper3k

Mac/Unix Enviornment:

pip3 install nltk

python3 -m nltk.downloader punkt averaged_perceptron_tagger maxent_ne_chunker words wordnet

Windows: http://pypi.python.org/pypi/nltk

pip3 install textblob

pip3 install spacy
python3 -m spacy download xx

pip3 install flask

Open the Extension Management page by navigating to chrome://extensions.

Click the LOAD UNPACKED button and select the extension directory.

python3 flask_app.py

Open the a news website on Google Chrome and click the extension icon next to right of the address bar.

• Newspaper - scrape articles from news sites
• NLTK - recognize entities and compute word similarity
• TextBlob - analyze sentiment of words
• Spacy - recognize active/passive sentences
• Flask - host a local server to run code

• Tianna Avery - tiannaavery
• Quinn Mayville - mayvilleq
• Yingying Wang - yingyingww
• Megan Zhao - meganzhao

• Inspired by the paper: Who is the Hero, the Villain, and the Victim?: Detection of Roles in News Articles using Natural Language Techniques (https://dl.acm.org/citation.cfm?id=3172993)
• Basis of merging algorithm comes from the NU Infolab News Context Project
• Advised by Professor David Musicant of Carleton College
• September 2018 - March 2019