네이버 블로그 문단 단위 키워드 분석

Greasy Fork is available in English.
네이버 블로그 문단 단위 키워드 분석

네이버 블로그로 작성된 문서를 문단 단위로 키워드를 분석하고 문장의 주요 주제를 간략하게 확인할 수 있습니다.
当前为 2021-07-01 提交的版本，查看最新版本。
换行
// ==UserScript==
// @namespace    https://tampermonkey.myso.kr/
// @name         네이버 블로그 문단 단위 키워드 분석
// @description  네이버 블로그로 작성된 문서를 문단 단위로 키워드를 분석하고 문장의 주요 주제를 간략하게 확인할 수 있습니다.
// @copyright    2021, myso (https://tampermonkey.myso.kr)
// @license      Apache-2.0
// @version      1.0.9
// @author       Won Choi
// @connect      naver.com
// @match        *://blog.naver.com/PostView*
// @grant        GM_addStyle
// @grant        GM_xmlhttpRequest
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/vendor/gm-app.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/vendor/gm-add-style.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/vendor/gm-add-script.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/vendor/gm-xmlhttp-request-async.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/donation.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/lib/naver-blog.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/lib/naver-search-nx.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/lib/naver-search-rx.js
// @require      https://cdn.jsdelivr.net/npm/[email protected]/assets/lib/smart-editor-one.js
// @require      https://cdnjs.cloudflare.com/ajax/libs/uuid/8.3.2/uuidv4.min.js
// @require      https://cdnjs.cloudflare.com/ajax/libs/bluebird/3.7.2/bluebird.min.js
// @require      https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js
// ==/UserScript==

// ==OpenUserJS==
// @author myso
// ==/OpenUserJS==
GM_App(async function main() {
  GM_donation('#viewTypeSelector, #postListBody, #wrap_blog_rabbit, #writeTopArea, #editor_frame', 0);
  GM_addStyle(`
  .se-text-paragraph[data-nx-status-loading="true"] { position: relative; }
  .se-text-paragraph[data-nx-status-loading="true"]::after { position: absolute; z-index: 1; display: block; padding: 0.2em; background: rgba(0,0,0,0.3); color: #fff; font-size: 11px; line-height: 1.3em; border-radius: 0.2em; content: '문장 내 키워드 분석 중...'; right: 0; bottom: 0; word-wrap: break-word; word-break: break-word; overflow-wrap: break-word; white-space: pre-wrap; }
  .se-text-paragraph[data-nx-status-keywords] { position: relative; }
  .se-text-paragraph[data-nx-status-keywords]::after { position: absolute; z-index: 1; display: block; padding: 0.2em; background: rgba(0,0,0,0.3); color: #fff; font-size: 10px; line-height: 1.3em; border-radius: 0.2em; content: '분석 완료'; right: 0; bottom: 0; opacity: 0.5; word-wrap: break-word; word-break: break-word; overflow-wrap: break-word; white-space: pre-wrap; }
  .se-text-paragraph[data-nx-status-keywords]:hover { outline: 1px solid rgba(255, 0, 0, 0.3);  }
  .se-text-paragraph[data-nx-status-keywords]:hover::after { z-index: 10000; background: #b4a996; color: #fff; font-size: 11px; content: attr(data-nx-status-keywords); overflow-y: auto; max-height: 240px; opacity: 1; }
  `);
  const se = SE_parse(document); if(!se.content) return;
  const sections = SE_parseNodes(document);
  const sentences = se.sections.filter((section)=>['text'].includes(section.type));
  await Promise.map(sentences, async (sentence, index) => {
      const section = sections[sentence.offset]; if(!section) return;
      const lines = Array.from(section.querySelectorAll('.se-text-paragraph'));
      await Promise.map(sentence.text || [], async (text, offset)=>{
          const line = lines[offset]; if(!line) return;
          line.onmouseover = async function() {
              event.preventDefault();
              if(line.dataset.nxStatusKeywords || line.dataset.nxStatusLoading) return;
              line.dataset.nxStatusLoading = true;
              const terms = await NX_termsParagraph(text);
              const uniqs = terms.filter((word, index, terms)=>terms.indexOf(word) == index);
              const title = await NR_termsAll(...uniqs);
              const group = uniqs.reduce((group, query, index)=>(group[index] = Object.assign({ query, count: terms.filter(item=>item==query).length }, title.find(o=>o.query == query)), group), []).sort((a, b)=>b.count - a.count);
              line.dataset.nxStatusKeywords = group.map((item)=>{
                  const info = [`${_.padEnd(`(${item.count})`, 8)}${_.padEnd(item.query, 10)}`];
                  if(item.r_category) info.push(`생산선호주제: ${item.r_category}`)
                  if(item.theme && item.theme.main) info.push(`메인소비주제: ${item.theme.main.name}`);
                  if(item.theme && item.theme.sub)  info.push(`서브소비주제: ${item.theme.sub.map(o=>o.name).join(', ')}`);
                  return info.join('\n');
              }).join('\n\n');
              line.dataset.nxStatusLoading = false;
          };
      });
  });
});