title: Building Comprehension based simple Q&A Python model, without the need for training
body: <p>Here's the approach I've in mind:</p>
  <ul>
  <li>Break the data paragraph such that each sentence is a string.</li>
  <li>Find the keywords in the question (nouns, verbs and adjectives)
  perhaps using POS tagging. Lemmatization might be necessary.</li>
  <li>Search through all the data strings to find the one which has all/most of these keywords. That sentence would most probably be the answer we're looking for.</li>
  </ul>
  <p>But, I find the implementation difficult as I'm new to Python and am unaware of the necessary commands/libraries. I will be grateful if someone can guide me down this path or any better way to do it.</p>