The latest articles on Forem by adhv45 (@adhv45). https://forem.com/adhv45 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F390937%2F6b34a7d4-7230-491f-8444-ab9e29eef842.png https://forem.com/adhv45 en adhv45 Wed, 20 May 2020 16:50:16 +0000 https://forem.com/adhv45/quizzer-25gb https://forem.com/adhv45/quizzer-25gb <h2> QuizzeR </h2> <p>A bot which generates Multiple Choice Questions for an input keyword. Fetches information from Wikipedia and analyses the received information using spaCy and NLTK. Generates MCQ type question with 70-80 % accuracy. Implemented in Python, Flask, HTML/CSS.</p> <h2> Demo Link </h2> <p>You will have to run it locally on your machine.</p> <h2> Github Repo Link </h2> <div class="ltag-github-readme-tag"> <div class="readme-overview"> <h2> <img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev.to%2Fassets%2Fgithub-logo-5a155e1f9a670af7944dd5e12375bc76ed542ea80224905ecaf878b9157cdefc.svg" alt="GitHub logo"> <a href="https://github.com/adhv45" rel="noopener noreferrer"> adhv45 </a> / <a href="https://github.com/adhv45/QuizzeR" rel="noopener noreferrer"> QuizzeR </a> </h2> <h3> </h3> </div> <div class="ltag-github-body"> <div id="readme" class="md"> <div class="markdown-heading"> <h1 class="heading-element">QuizzeR</h1> </div> <p>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.</p> <div class="markdown-heading"> <h3 class="heading-element">Prerequisites</h3> </div> <p>Things you need to install first get pip for python3 (included env is based on python3.7 so use new env if needed)</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto"><pre class="notranslate"><code>Debian/Ubuntu : sudo apt-get install python3-pip arch : sudo pacman -S python-pip </code></pre></div> <p>python3 libraries required: spacy, flask, Wikipedia, hunspell. already included wikipedia as there were issues with originel api. And already included nltk with tokeniser data.</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto"><pre class="notranslate"><code>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 ``` </code></pre></div> <p>using new environment</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto"> <pre class="notranslate"><code>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</code></pre>…</div> </div> </div> <div class="gh-btn-container"><a class="gh-btn" href="https://github.com/adhv45/QuizzeR" rel="noopener noreferrer">View on GitHub</a></div> </div> <h2> How I built it </h2> <ul> <li>Search the content from Wikipedia. </li> <li>Divide into sections.</li> <li>Filter the sentences by length and no. of named entities after than pick two random sentences from each section.</li> <li>To make question remove the most important keyword and replace it with a blank string.</li> <li>Use similarity to generate options.</li> </ul> <h2> Additional Thoughts / Feelings / Stories </h2> <p>It was my first project which we did on our own in a college hackathon.</p> octograd2020 showdev devgrad2020 nlp