public function recommend_analyze()
 {
     $data = Input::all();
     spl_autoload_register(function ($class_name) {
         $file_name = str_replace('\\', '/', $class_name);
         $file_name = str_replace('_', '/', $file_name);
         $file = dirname(__FILE__) . "/src/{$file_name}.php";
         if (is_file($file)) {
             include $file;
         }
     });
     $tokenizer = new Recommend();
     $classifier = new Classifier($tokenizer);
     $train = Recommend::all();
     // training file here
     foreach ($train as $key) {
         # code...
         $classifier->train($key['label'], $key['context']);
     }
     // $classifier->train('Hot', 'It is so hot');
     // $classifier->train('Cold', 'it is very cold');
     $groups = $classifier->classify($data['content']);
     $rec = classification::find($groups);
     $content = $data['content'];
     $nav = new category();
     $menu_top = $nav->menu_top($nav->all()->toArray());
     $pro = new Product();
     $product = $pro->getRecommend($groups);
     return view('frontend.pages.result', array('groups' => $groups, 'content' => $content, 'menu_top' => $menu_top, 'rec' => $rec, 'product' => $product));
     //return $groups;
 }