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Top 10 Examples of "nodejieba in functional component" in JavaScript

Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'nodejieba' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.

listen(function(text) {
  if (text.length) {
    // const words = tokenizer(text);
    const words = nodejieba.cut(text);
    const testVec = words2Vec(vocabList, words);
    console.log(response(classify(testVec, weights, pAbusive)));
  } else {
    console.log('Any help?');
  }
})
"page": function(page){

            // console.log(page);

            // 建立页面内容索引
            pageIndex[pageId] = {
                path : page.path.replace(/readme\.md$/i,'index.html').replace(/\.md$/,'.html'),
                title : page.progress.current.title,
                level : page.progress.current.level
            }

            // 分词
            var words = _.uniq( nodejieba.cut(page.content) );

            // 去重
            _(words).forEach(function(word) {

                // 不索引1个字的词
                //if(word.length > 1){

                    // 转为大写
                    word = word.toUpperCase();

                    // 如果没有这个词的索引空间
                    if(!searchIndexMap[word]) {
                        searchIndexMap[word] = [];
                    }

                    // 搜索词容器推入
function cut(str = '', splitBy = ' ', limit = 500) {
  return jieba
    .extract(str, limit)
    .map(({ word }) => word)
    .filter((word) => {
      if (word.trim() === '') {
        return false;
      }
      if (ignoreWordsHash[word]) {
        return false;
      }
      // 过滤 CDN 图片地址
      if (/^TB\w+/.test(word)) {
        return false;
      }
      return true;
    })
    .join(splitBy);
patterns.forEach(function(pattern) {
    // const words = tokenizer(pattern);
    const words = nodejieba.cut(pattern);
    document.push(words);
    classes.push(tag);
  });
  responses[tag] = intent.responses;
var cheerio = require('cheerio')
var co = require("co");
var ArticleDAO = require('../db/models/article');
var TagDAO = require('../db/models/tag');
var jieba = require("nodejieba");


var articleDAO = new ArticleDAO(),
    tagDAO = new TagDAO();

jieba.load({
    stopWordDict: './dict/stop_words.utf8',
});

var Tag = {
    saveTags: function(aid){
        // var gen = function* (){
        //     var tags = yield tagDAO.search({aid: aid});
        //     if(tags.length<=0){
        //         var result = yield articleDAO.search(aid);
        //         var $ = cheerio.load(result.body, {decodeEntities: false});
        //         var wordsArr = jieba.extract($.root().text(), 10),
        //             tagArr = [];
        //         for(var i=0,len=wordsArr.length;i
const jieba = require('nodejieba');
// load dict at first time
jieba.load({
  userDict: './scripts/participle/userDict.utf8',
});
const ignoreWordsHash = {};

// const ignoreWords = [
//   ',',
//   '.',
//   ':',
//   '。',
//   ';',
//   ':',
//   '(',
//   ')',
//   '-',
//   '*',
//   '<',
const jieba = require("nodejieba");
const trans = require('chinese-conv');
const path = require("path");

jieba.load({
    // User's Words
    userDict: path.join(__dirname, '../data/jieba_userdict.utf8')
});

// nodejieba only support Simplified Chinese, so translate Traditonal to Simplified.
// After segment, translate back to Traditonal Chinese.
const segment = input => {
    const words = jieba.cut(trans.sify(input));
    const results = [];
    words.forEach(w => {
        results.push(trans.tify(w));
    })
    return results;
}
module.exports = segment;
"init" : function(){

            config = this.options;

            pluginConfig = this.options.pluginsConfig['search-pro'];

            // 导入book.json里面插件配置中的自定义词典
            // nodejieba.insertWord("word1","word2",....);

            nodejieba.insertWord.apply(this,pluginConfig.defineWord);

        },
listen(function(text) {
    if (text.length) {
      console.log(classifier.classify(nodejieba.cut(text)));
    } else {
      console.log('Any help?');
    }
  });
});
exports.uniq = function(str) {
  return _.uniq(jieba.tag(str).sort())
    .filter(function(item) {
      return !item.match(/\s/);
    })
    .map(function(item) {
      item = item.split(':');
      return {
        name: item[0],
        type: item[1]
      }
    });
};

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