mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-12-25 10:54:18 +00:00
dynamic token visualization
This commit is contained in:
Inga Kirschnick
parent
e4f435c5ee
commit
d08f95e944
@ -7,20 +7,21 @@ class CorpusAnalysisStaticVisualization {
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stopwords: undefined,
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originalStopwords: {},
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stopwordCache: {},
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promises: {getStopwords: undefined}
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promises: {getStopwords: undefined},
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tokenSet: new Set()
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};
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this.app.registerExtension(this);
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}
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async init() {
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init() {
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// Init data
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this.data.corpus = this.app.data.corpus;
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this.renderGeneralCorpusInfo();
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this.renderTextInfoList();
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this.renderTextProportionsGraphic();
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this.renderTokenList();
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this.renderFrequenciesGraphic();
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// this.renderFrequenciesGraphic();
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// Add event listeners
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let frequenciesStopwordSettingModal = document.querySelector('#frequencies-stopwords-setting-modal');
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@ -46,7 +47,7 @@ class CorpusAnalysisStaticVisualization {
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let frequenciesTokenCategoryDropdownListElement = document.querySelector("#frequencies-token-category-dropdown");
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frequenciesTokenCategoryDropdownListElement.addEventListener('click', (event) => {
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frequenciesTokenCategoryDropdownElement.firstChild.textContent = event.target.innerHTML;
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this.renderFrequenciesGraphic();
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this.renderTokenList();
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});
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let frequenciesGraphModeButtons = document.querySelectorAll('.frequencies-graph-mode-button');
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@ -56,7 +57,7 @@ class CorpusAnalysisStaticVisualization {
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btn.classList.remove('disabled');
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});
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event.target.closest('.frequencies-graph-mode-button').classList.add('disabled');
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this.renderFrequenciesGraphic();
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this.renderFrequenciesGraphic(this.data.tokenSet);
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});
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});
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@ -64,7 +65,8 @@ class CorpusAnalysisStaticVisualization {
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actionButton.addEventListener('click', (event) => {
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let action = event.target.closest('.frequencies-stopword-setting-modal-action-buttons').dataset.action;
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if (action === 'submit') {
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this.renderFrequenciesGraphic();
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console.log('Stopwords changed');
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this.renderTokenList();
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} else if (action === 'cancel') {
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this.data.stopwords = structuredClone(this.data.stopwordCache);
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}
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@ -208,34 +210,60 @@ class CorpusAnalysisStaticVisualization {
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}
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async renderTokenList() {
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let corpusData = this.data.corpus.o.staticData;
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let corpusTokenListElement = document.querySelector('.corpus-token-list');
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let corpusTokenList = new CorpusTokenList(corpusTokenListElement);
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let filteredData = this.filterData();
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let stopwords = this.data.stopwords;
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if (this.data.stopwords === undefined) {
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stopwords = await this.getStopwords();
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}
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stopwords = Object.values(stopwords).flat();
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let mostFrequent = Object.entries(corpusData.corpus.freqs.word)
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.sort((a, b) => b[1] - a[1])
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.filter(item => !stopwords.includes(corpusData.values.p_attrs.word[item[0]].toLowerCase()))
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let mostFrequent = Object.entries(filteredData)
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.sort((a, b) => b[1].count - a[1].count)
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.filter(item => !stopwords.includes(item[0].toLowerCase()))
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.slice(0, 4)
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.map(item => parseInt(item[0]));
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.map(item => item[0])
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let tokenData = [];
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for (let i = 0; i < Object.values(corpusData.corpus.freqs.word).length; i++) {
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Object.entries(filteredData).forEach(item => {
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let resource = {
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term: corpusData.values.p_attrs.word[i].toLowerCase(),
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count: corpusData.corpus.freqs.word[i],
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mostFrequent: mostFrequent.includes(i)
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term: item[0],
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count: item[1].count,
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mostFrequent: mostFrequent.includes(item[0])
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};
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if (!Object.values(stopwords).includes(resource.term)) {
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tokenData.push(resource);
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}
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}
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});
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corpusTokenList.add(tokenData);
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}
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async renderFrequenciesGraphic() {
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filterData() {
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let frequenciesTokenCategoryDropdownElement = document.querySelector('[data-target="frequencies-token-category-dropdown"]');
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let tokenCategory = frequenciesTokenCategoryDropdownElement.firstChild.textContent.toLowerCase();
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let corpusData = this.data.corpus.o.staticData;
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let filteredData = {};
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for (let i = 0; i < Object.values(corpusData.corpus.freqs[tokenCategory]).length; i++) {
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let term = corpusData.values.p_attrs[tokenCategory][i].toLowerCase();
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let count = corpusData.corpus.freqs[tokenCategory][i];
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if (filteredData[term]) {
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filteredData[term].count += count;
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filteredData[term].originalIds.push(i);
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} else {
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filteredData[term] = {
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count: count,
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originalIds: [i]
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};
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}
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}
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return filteredData;
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}
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renderFrequenciesGraphic(tokenSet) {
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this.data.tokenSet = tokenSet;
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let corpusData = this.data.corpus.o.staticData;
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let frequenciesTokenCategoryDropdownElement = document.querySelector('[data-target="frequencies-token-category-dropdown"]');
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let frequenciesGraphicElement = document.querySelector('#frequencies-graphic');
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@ -243,12 +271,16 @@ class CorpusAnalysisStaticVisualization {
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let graphtype = document.querySelector('.frequencies-graph-mode-button.disabled').dataset.graphType;
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let tokenCategory = frequenciesTokenCategoryDropdownElement.firstChild.textContent.toLowerCase();
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let graphData = await this.createFrequenciesGraphData(tokenCategory, texts, graphtype);
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let graphData = this.createFrequenciesGraphData(tokenCategory, texts, graphtype, tokenSet);
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let graphLayout = {
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barmode: graphtype === 'bar' ? 'stack' : '',
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yaxis: {
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showticklabels: graphtype === 'markers' ? false : true
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},
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height: 627,
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margin: {
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l: 17
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}
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};
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let config = {
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responsive: true,
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@ -258,31 +290,28 @@ class CorpusAnalysisStaticVisualization {
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Plotly.newPlot(frequenciesGraphicElement, graphData, graphLayout, config);
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}
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async createFrequenciesGraphData(tokenCategory, texts, graphtype) {
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createFrequenciesGraphData(tokenCategory, texts, graphtype, tokenSet) {
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let corpusData = this.data.corpus.o.staticData;
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let stopwords = this.data.stopwords;
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if (this.data.stopwords === undefined) {
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stopwords = await this.getStopwords();
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}
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let stopwordList = Object.values(stopwords).flat();
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let graphData = [];
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let filteredData = Object.entries(corpusData.corpus.freqs[tokenCategory])
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.sort((a, b) => b[1] - a[1])
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.filter(item => !stopwordList.includes(corpusData.values.p_attrs[tokenCategory][item[0]].toLowerCase()))
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.slice(0, 5);
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let filteredData = this.filterData();
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switch (graphtype) {
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case 'markers':
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for (let item of filteredData) {
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let size = texts.map(text => text[1].freqs[tokenCategory][item[0]] || 0);
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for (let item of tokenSet) {
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let textTitles = texts.map(text => `${corpusData.values.s_attrs.text[text[0]].title} (${corpusData.values.s_attrs.text[text[0]].publishing_year})`);
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let tokenCountPerText = [];
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for (let originalId of filteredData[item].originalIds) {
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for (let i = 0; i < texts.length; i++) {
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tokenCountPerText[i] = (tokenCountPerText[i] || 0) + (texts[i][1].freqs[tokenCategory][originalId] || 0);
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}
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}
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let data = {
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x: texts.map(text => `${corpusData.values.s_attrs.text[text[0]].title} (${corpusData.values.s_attrs.text[text[0]].publishing_year})`),
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y: texts.map(text => corpusData.values.p_attrs[tokenCategory][item[0]]),
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name: corpusData.values.p_attrs[tokenCategory][item[0]],
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text: texts.map(text => `${corpusData.values.p_attrs[tokenCategory][item[0]]}<br>${text[1].freqs[tokenCategory][item[0]] || 0}`),
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x: textTitles,
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y: texts.map(text => item),
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name: item,
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text: texts.map(text => `${item}<br>${tokenCountPerText || 0}`),
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mode: 'markers',
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marker: {
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size: size,
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size: tokenCountPerText,
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sizeref: 0.4
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}
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};
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@ -290,11 +319,18 @@ class CorpusAnalysisStaticVisualization {
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}
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break;
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default:
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for (let item of filteredData) {
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for (let item of tokenSet) {
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let textTitles = texts.map(text => `${corpusData.values.s_attrs.text[text[0]].title} (${corpusData.values.s_attrs.text[text[0]].publishing_year})`);
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let tokenCountPerText = [];
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for (let originalId of filteredData[item].originalIds) {
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for (let i = 0; i < texts.length; i++) {
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tokenCountPerText[i] = (tokenCountPerText[i] || 0) + (texts[i][1].freqs[tokenCategory][originalId] || 0);
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}
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}
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let data = {
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x: texts.map(text => `${corpusData.values.s_attrs.text[text[0]].title} (${corpusData.values.s_attrs.text[text[0]].publishing_year})`),
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y: texts.map(text => text[1].freqs[tokenCategory][item[0]] || 0),
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name: corpusData.values.p_attrs[tokenCategory][item[0]],
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x: textTitles,
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y: tokenCountPerText,
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name: item,
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type: graphtype
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};
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graphData.push(data);
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@ -296,7 +296,7 @@ class ConcordanceQueryBuilder {
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this.elements.entity.innerHTML = 'Entity';
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}
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this.elements.counter -= 1;
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if (this.elements.counter <= 0) {
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if (this.elements.counter === 0) {
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this.elements.queryContainer.classList.add('hide');
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}
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this.queryPreviewBuilder();
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@ -6,7 +6,7 @@ class CorpusTokenList extends ResourceList {
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}
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static defaultOptions = {
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page: 100
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page: 7
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};
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constructor(listContainerElement, options = {}) {
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@ -16,8 +16,35 @@ class CorpusTokenList extends ResourceList {
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);
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super(listContainerElement, _options);
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this.listjs.list.addEventListener('click', (event) => {this.onClick(event)});
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this.selectedItemIds = new Set();
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this.selectedItemTerms = new Set();
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this.listjs.on('sortComplete', () => {
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let listItems = Array.from(this.listjs.items).filter(item => item.elm);
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for (let item of listItems) {
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let termElement = item.elm.querySelector('.term');
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let mostFrequent = item.elm.dataset.mostfrequent === 'true';
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if (mostFrequent) {
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this.selectedItemTerms.add(termElement.textContent);
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}
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}
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corpusAnalysisApp.extensions['Static Visualization'].renderFrequenciesGraphic(this.selectedItemTerms);
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});
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let tokenListResetButtonElement = this.listContainerElement.querySelector('#token-list-reset-button');
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tokenListResetButtonElement.addEventListener('click', () => {
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this.selectedItemTerms.clear();
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let listItems = Array.from(this.listjs.items).filter(item => item.elm);
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for (let item of listItems) {
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let termElement = item.elm.querySelector('.term');
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let mostFrequent = item.elm.dataset.mostfrequent === 'true';
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if (mostFrequent) {
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item.elm.querySelector('.select-checkbox').checked = true;
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this.selectedItemTerms.add(termElement.textContent);
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} else {
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item.elm.querySelector('.select-checkbox').checked = false;
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}
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}
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corpusAnalysisApp.extensions['Static Visualization'].renderFrequenciesGraphic(this.selectedItemTerms);
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});
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}
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get item() {
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@ -42,7 +69,7 @@ class CorpusTokenList extends ResourceList {
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return [
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'term',
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'count',
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'mostFrequent',
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{data: ['mostFrequent']},
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'frequency'
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];
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}
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@ -58,12 +85,12 @@ class CorpusTokenList extends ResourceList {
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<input id="${listSearchElementId}" class="search" type="text"></input>
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<label for="${listSearchElementId}">Search token</label>
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</div>
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<div class="scrollable-list-container-wrapper" style="height:276px; overflow:scroll;">
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<div class="scrollable-list-container">
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<table>
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<thead>
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<tr>
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<th></th>
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<th style="width:15%;">
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<span class="material-icons" style="cursor:pointer" id="token-list-reset-button">refresh</span>
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</th>
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<th>Term</th>
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<th>Count</th>
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<th>Frequency</th>
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@ -71,11 +98,8 @@ class CorpusTokenList extends ResourceList {
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</thead>
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<tbody class="list"></tbody>
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</table>
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</div>
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</div>
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<ul class="pagination"></ul>
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`.trim();
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this.listContainerElement.style.padding = '30px';
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}
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mapResourceToValue(corpusTokenData) {
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@ -92,19 +116,20 @@ class CorpusTokenList extends ResourceList {
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}
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onClick(event) {
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let listItemElement = event.target.closest('.list-item[data-id]');
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if (event.target.closest('.disable-on-click') !== null) {return;}
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let listItemElement = event.target.closest('.list-item');
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if (listItemElement === null) {return;}
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let itemId = listItemElement.dataset.id;
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let item = listItemElement.querySelector('.term').textContent;
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let listActionElement = event.target.closest('.list-action-trigger[data-list-action]');
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let listAction = listActionElement === null ? '' : listActionElement.dataset.listAction;
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switch (listAction) {
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case 'select': {
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if (event.target.checked) {
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this.selectedItemIds.add(itemId);
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this.selectedItemTerms.add(item);
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} else {
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this.selectedItemIds.delete(itemId);
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this.selectedItemTerms.delete(item);
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}
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this.renderingItemSelection();
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corpusAnalysisApp.extensions['Static Visualization'].renderFrequenciesGraphic(this.selectedItemTerms);
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break;
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}
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default: {
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@ -113,9 +138,4 @@ class CorpusTokenList extends ResourceList {
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}
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}
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renderingItemSelection() {
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}
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}
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@ -90,9 +90,8 @@
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<div class="card-content">
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<span class="card-title">Frequencies</span>
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<div class="row">
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{# <div class="col s1"></div> #}
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<div class="col s5">
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<div class="corpus-token-list no-autoinit"></div>
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<div class="col s4">
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<div class="corpus-token-list no-autoinit" style="transform: scale(0.91);"></div>
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<a class="dropdown-trigger btn" data-target="frequencies-token-category-dropdown">Word<i class="material-icons right">arrow_drop_down</i></a>
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<a class="btn-flat modal-trigger no-autoinit" id="frequencies-stopwords-setting-modal-button" href="#frequencies-stopwords-setting-modal">
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<i class="material-icons grey-text text-darken-2">settings</i>
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@ -104,9 +103,9 @@
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<li><a data-token-category="simple_pos">Simple_pos</a></li>
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</ul>
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</div>
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{# <div class="col s1"></div> #}
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<div class="col s7">
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<div class="col s8">
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<div id="frequencies-graphic"></div>
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<div>
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<a class="btn disabled frequencies-graph-mode-button" data-graph-type="bar"><i class="material-icons">stacked_bar_chart</i></a>
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<a class="btn frequencies-graph-mode-button" data-graph-type="scatter"><i class="material-icons">show_chart</i></a>
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<a class="btn frequencies-graph-mode-button" data-graph-type="markers"><i class="material-icons">bubble_chart</i></a>
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@ -116,6 +115,7 @@
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</div>
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</div>
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</div>
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</div>
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<div class="row">
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</div>
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@ -130,8 +130,7 @@
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like "the" or "and," that carry little meaning and are often removed in text analysis
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to improve efficiency and accuracy.</p>
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<div id="user-stopword-list-container"></div>
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<div class="chips col s8 no-autoinit input-field" id="stopword-input-field">
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</div>
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<div class="chips col s8 no-autoinit input-field" id="stopword-input-field"></div>
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</div>
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<div class="row">
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<p>Below you can find a list of all stopwords that are always filtered out.
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@ -159,3 +158,4 @@
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const corpusAnalysisStaticVisualization = new CorpusAnalysisStaticVisualization(corpusAnalysisApp);
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</script>
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{% endset %}
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