• Use CV to choose whether we need stemming or not.
  • lots of new version of learning algorithms keep getting implemented every time and use error analysis whether the performance of our learning algorithms is increasing or not
  • Most of the time the simplest method is the most correct one
  • The fast result will give us insight about which specific problem need specific actions to handle, and better method to handle / generalize it
  • Don't afraid about being too quick or to dirty implementation. Once we got our first initialisation, we can then have a grip about which direction we should go into.
  • So once again, take a quick and dirty way to implement the algorithms. From the result , we will then spend some time wisely go which the direction of complexity of the learning algorithm for particular set of problems