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; }