<?php $_txts = array('1.txt','2.txt','3.txt'); $_len = count($_txts); for ($i = 0;$i < $_len;$i++){ $_contents[] = file_get_contents($_txts[$i]); } for ($i = 0;$i < $_len;$i++){ //分词 $_words[] = explode(' ',trim($_contents[$i])); foreach ($_words[$i] as $_key=>$_value){ $_value = trim($_value); $_value = preg_replace('/[.|,|(|)|-|;]/','',$_value); $_words[$i][$_key]=strtolower($_value); } //词频tf $_tf[] = array_count_values($_words[$i]); //去重 $_words[$i]= array_unique($_words[$i]); } //合并 $_words_com = array_merge($_words[0],$_words[1],$_words[2]); //文档频率 $_df = array_count_values($_words_com); //特征向量 for ($i = 0;$i < $_len;$i++){ $_vsm[$i] = $_df; foreach($_vsm[$i] as $_key=>$_value){ $_vsm[$i][$_key] = 0; } for ($j=0;$j<count($_words[$i]);$j++){ if (in_array($_words[$i][$j],$_words_com)){ $_vsm[$i][($_words[$i][$j])] = ($_tf[$i][($_words[$i][$j])])*(log($_len/$_df[($_words[$i][$j])])); } } } for($i = 0;$i < count($_vsm); $i++){ echo '第'.($i+1).'篇文档的特征向量: ('. implode(",",$_vsm[$i]).')<br/>'; } //测试 $_query = 'java'; $_vsm_que = $_df; foreach($_vsm_que as $_key=>$_value){ $_vsm_que[$_key] = 0; } if (in_array($_query,$_vsm_que)){ $_vsm_que[$_query] = 1; } for ($i = 0; $i < count($_vsm); $i++){ foreach($_vsm_que as $_key=>$_value){ $_sim[$i] += ($_vsm[$i][$_key]) * ($_vsm_que[$_key]); $_w1 += pow($_vsm_que[$_key],2); $_w2 += pow($_vsm[$i][$_key],2); } //求夹角余弦值 $_cos[$i] = $_sim[$i]/(sqrt($_w1)*sqrt($_w2)); } arsort($_cos); foreach($_cos as $_key=>$_value){ echo '最符合的结果为第'.($_key+1).'篇文档'; break; } ?>
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