QuizzeR

Quizzer is an online quiz making bot which fetches information from Wikipedia and analyses the received information using spaCy and nltk. The accuracy is 70-80 % for questions.

Prerequisites

Things you need to install: first get pip for python3 (included env is based on python3.7 so use new env if needed)

Debian/Ubuntu : sudo apt-get install python3-pip
arch : sudo pacman -S python-pip

python3 libraries required: spacy, flask, Wikipedia, hunspell. already included wikipedia as there were issues with originel api. And already included nltk with tokeniser data.

first enter virtual env 
	source QUIZZER_DIR/.env/bin/activate
	
install these packages using pip (pip3 for python3):

i.e.
```
	pip3 install -v spacy (do the same for flask, hunspell)
		google if u face some error installing hunspell
		
	download spacy database for english
		python3 -m spacy download en
```

using new environment

rm -rf QUIZZER_DIR/.env
virtualenv .env
source .env/bin/activate
install wikipedia using pip
	edit .env/lib/pythonX.X/site-packages/wikipedia/wikipedia.py
		aroung line no. 646
		     - query_params.update(self.__title_query_param)
		     + if not getattr(self, 'title', None):
		     + query_params['pageid'] = self.pageid
		     + else:
		     + query_params['page'] = self.title
install nltk using pip
	got to python cli
		import nltk
		nltk.download('punkt')
install spacy (refer to above para)

install hunspell(refer to google for any error)
install flask

Running the tests

Goto cloned directory (cd '/path /to /directory') using terminal

run using python3

'''
	python3 server.py
	open the output link using any borwser (firefox, chorme etc.) 
'''

Built With

* [spaCy](https://github.com/explosion/spaCy/blob/master/README.rst) - Natural Language Processing
* [NLTK](https://www.nltk.org/) - Natural Language Toolkit
* [Beautiful Soup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) - HTML parser
* [Flask](http://flask.pocoo.org/) - Web Development Framework
* [Wikipedia](https://github.com/goldsmith/Wikipedia/blob/master/README.rst)- Wikipedia API

Algorithm

* Search the content from Wikipedia. 
* Divide into sections.
* Filter the sentences by length and no. of named entities after than pick two random sentences from each section.
* To make question remove the most important keyword and replace it with blank string.
* Use similarity to generate options.
(Go through the code to see how we did it and what criteria we have used to pick two sentences and make question.)

Contributers

* Aayush Sharma - aayush1771
* Anil Chhipa	- adhv45
* Sameer Mansuri- sameer91
* Akash Soni	- soniakash1998
* Divyanshu Dhawan - dextroxd