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如何将全文检索中的“干扰词”去除_sqlserver

sqlserver 搞代码 3年前 (2018-06-16) 169次浏览 已收录 0个评论

包括以下内容,然后调用:remove_noise_word()即可

 

<SCRIPT LANGUAGE=JavaScript>

http://www.gaodaima.com/35534.html如何将全文检索中的“干扰词”去除_sqlserver

<!–
  noise_word_list_ch = new Array(“?”,”about”,”$”,”1″,”2″,”3″,”4″,”5″,”6″,”7″,”8″,”9″,”0″,”_”,
        “a”,”b”,”c”,”d”,”e”,”f”,”g”,”h”,”i”,”j”,”k”,”l”,”m”,”n”,”o”,
        “p”,”q”,”r”,”s”,”t”,”u”,”v”,”w”,”x”,”y”,”z”,”after”,”all”,”also”,
        “an”,”and”,”another”,”any”,”are”,”as”,”at”,”be”,”because”,”been”,
        “before”,”being”,”between”,”both”,”but”,”by”,”came”,”can”,”come”,
        “could”,”did”,”do”,”each”,”for”,”from”,”get”,”got”,”had”,”has”,
        “have”,”he”,”her”,”here”,”him”,”himself”,”his”,”how”,”if”,”in”,”into”,
        “is”,”it”,”like”,”make”,”many”,”me”,”might”,”more”,”most”,”much”,”must”,
        “my”,”never”,”now”,”of”,”on”,”only”,”or”,”other”,”our”,”out”,”over”,”said”,
        “same”,”see”,”should”,”since”,”some”,”still”,”such”,”take”,”than”,”that”,
        “the”,”their”,”them”,”then”,”there”,”these”,”they”,”this”,”those”,”through”,
        “to”,”too”,”under”,”up”,”very”,”was”,”way”,”we”,”well”,”were”,”what”,”where”,
        “which”,”while”,”who”,”with”,”would”,”you”,”your”,
        “的”,”一”,”不”,”在”,”人”,”有”,”是”,”为”,”以”,”于”,”上”,”他”,”而”,”后”,”之”,”来”,
        “及”,”了”,”因”,”下”,”可”,”到”,”由”,”这”,”与”,”也”,”此”,”但”,”并”,”个”,”其”,”已”,
         “无”,”小”,”我”,”们”,”起”,”最”,”再”,”今”,”去”,”好”,”只”,”又”,”或”,”很”,”亦”,”某”,
        “把”,”那”,”你”,”乃”,”它”);

function trim_str_key(inputVal){
 inputStr = inputVal.toString()
 while ((inputStr.charAt(inputStr.length – 1) == ” “) || (inputStr.charAt(0) == ” “)){     

    //如果最右边为空格则删去
    if (inputStr.charAt(inputStr.length – 1) == ” “){
         inputStr = inputStr.substring(0,inputStr.length – 1)
    }
    //如果最左边为空格则删去
    if (inputStr.charAt(0) == ” “){
       inputStr = inputStr.substring(1,inputStr.length)
    }
 }
 return inputStr
}

function is_ch_noise_word(str_key){
   var key_word = trim_str_key(str_key);
   key_word = key_word.toLowerCase();
   var listlength=noise_word_list_ch.length;
   var tmp_str = “”;
   for(i=0;i<listlength;i++){
      tmp_str = noise_word_list_ch[i]
      if(tmp_str==key_word){ 
         return true;
      }
   }
   return false;

function remove_noise_word(str_source){
  var tmp_str = “”;
  var ch = “”;
  var str_out = “”;
  var i = 0;
  str_source = trim_str_key(str_source); 
  var str_source_length = str_source.length;
 
  if(str_source_length == 0){
    return str_out;
  }
  
  for (i=0;i < str_source_length; i++){ 
    ch = str_source.charAt(i);
    if(ch==” “){ //如果为空格则表示是下一个关键词
  if(!(is_ch_noise_word(tmp_str))){ //不是干扰词就输出
     if(tmp_str!=” “){  //防止连续的两个空格
       str_out = str_out + tmp_str + ” “;
     } 
  }
  tmp_str = “”;
    }
    else{
       tmp_str = tmp_str + ch;
    }
  }
  str_out = str_out + tmp_str;   
  return trim_str_key(str_out); 
}

//下面是一个测试
//var abc = “av  n”;
//var nnnn = remove_noise_word(abc);
//alert(nnnn);
//–>
</SCRIPT>

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