什么是从文本块中提取关键词短语的最佳方法?我正在编写一个关键字提取工具:类似于这样的。我找到了一些用于提取n-gram的Python和Perl库,但是我正在Node中编写代码,所以需要JavaScript解决方案。如果没有现成的JavaScript库,有人能否解释一下如何做到这一点,以便我可以自己编写它?
我喜欢这个想法,所以我已经实现了它:请看下面(包含描述性注释)。
预览请访问:https://jsfiddle.net/WsKMx
/*@author Rob W, created on 16-17 September 2011, on request for Stackoverflow (https://dev59.com/Fmw05IYBdhLWcg3wsz0l)
* Modified on 17 juli 2012, fixed IE bug by replacing [,] with [null]
* This script will calculate words. For the simplicity and efficiency,
* there's only one loop through a block of text.
* A 100% accuracy requires much more computing power, which is usually unnecessary
**/
var text = "A quick brown fox jumps over the lazy old bartender who said 'Hi!' as a response to the visitor who presumably assaulted the maid's brother, because he didn't pay his debts in time. In time in time does really mean in time. Too late is too early? Nonsense! 'Too late is too early' does not make any sense.";
var atLeast = 2; // Show results with at least .. occurrences
var numWords = 5; // Show statistics for one to .. words
var ignoreCase = true; // Case-sensitivity
var REallowedChars = /[^a-zA-Z'\-]+/g;
// RE pattern to select valid characters. Invalid characters are replaced with a whitespace
var i, j, k, textlen, len, s;
// Prepare key hash
var keys = [null]; //"keys[0] = null", a word boundary with length zero is empty
var results = [];
numWords++; //for human logic, we start counting at 1 instead of 0
for (i=1; i<=numWords; i++) {
keys.push({});
}
// Remove all irrelevant characters
text = text.replace(REallowedChars, " ").replace(/^\s+/,"").replace(/\s+$/,"");
// Create a hash
if (ignoreCase) text = text.toLowerCase();
text = text.split(/\s+/);
for (i=0, textlen=text.length; i<textlen; i++) {
s = text[i];
keys[1][s] = (keys[1][s] || 0) + 1;
for (j=2; j<=numWords; j++) {
if(i+j <= textlen) {
s += " " + text[i+j-1];
keys[j][s] = (keys[j][s] || 0) + 1;
} else break;
}
}
// Prepares results for advanced analysis
for (var k=1; k<=numWords; k++) {
results[k] = [];
var key = keys[k];
for (var i in key) {
if(key[i] >= atLeast) results[k].push({"word":i, "count":key[i]});
}
}
// Result parsing
var outputHTML = []; // Buffer data. This data is used to create a table using `.innerHTML`
var f_sortAscending = function(x,y) {return y.count - x.count;};
for (k=1; k<numWords; k++) {
results[k].sort(f_sortAscending);//sorts results
// Customize your output. For example:
var words = results[k];
if (words.length) outputHTML.push('<td colSpan="3" class="num-words-header">'+k+' word'+(k==1?"":"s")+'</td>');
for (i=0,len=words.length; i<len; i++) {
//Characters have been validated. No fear for XSS
outputHTML.push("<td>" + words[i].word + "</td><td>" +
words[i].count + "</td><td>" +
Math.round(words[i].count/textlen*10000)/100 + "%</td>");
// textlen defined at the top
// The relative occurence has a precision of 2 digits.
}
}
outputHTML = '<table id="wordAnalysis"><thead><tr>' +
'<td>Phrase</td><td>Count</td><td>Relativity</td></tr>' +
'</thead><tbody><tr>' +outputHTML.join("</tr><tr>")+
"</tr></tbody></table>";
document.getElementById("RobW-sample").innerHTML = outputHTML;
/*
CSS:
#wordAnalysis td{padding:1px 3px 1px 5px}
.num-words-header{font-weight:bold;border-top:1px solid #000}
HTML:
<div id="#RobW-sample"></div>
*/
function ngrams(seq, n) {
to_return = []
for (let i=0; i<seq.length-(n-1); i++) {
let cur = []
for (let j=i; j<seq.length && j<=i+(n-1); j++) {
cur.push(seq[j])
}
to_return.push(cur.join(''))
}
return to_return
}
> ngrams(['a', 'b', 'c'], 2)
['ab', 'bc']
我不知道JavaScript中是否有这样的库,但逻辑是:
或者
Ivo Stoykov