vec.wordsNearest("lamb", 5).foreach{ word =>
    println (s"lamb :: $word = ${vec.similarity("lamb", word)}")
  }
  /**
    * Outputs:
    * lamb :: lean = 0.4001898765563965
    * lamb :: chops = 0.2934269607067108
    * lamb :: shin = 0.4334653615951538
    * lamb :: neck = 0.3357560336589813
    * lamb :: mutton = 0.29669204354286194
    */

  vec.wordsNearest("pork", 5).foreach{ word =>
    println (s"pork :: $word = ${vec.similarity("pork", word)}")
  }
  /**
    * Outputs:
    * pork :: individual = 0.18684068322181702
    * pork :: sourdough = 0.3047674000263214
    * pork :: belly = 0.013941929675638676
    * pork :: unsmoked = 0.26246118545532227
    * pork :: sinew = 0.36444804072380066
    */