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New data structure implementation
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@ -117,29 +117,31 @@ class CorpusAnalysisApp {
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}
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renderGeneralCorpusInfo(corpusData) {
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document.querySelector('.corpus-num-tokens').innerHTML = corpusData.corpus.lexicon[0].counts.token;
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document.querySelector('.corpus-num-s').innerHTML = corpusData.corpus.lexicon[0].counts.s;
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document.querySelector('.corpus-num-unique-words').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.word).length;
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document.querySelector('.corpus-num-unique-lemmas').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.lemma).length;
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document.querySelector('.corpus-num-unique-pos').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.pos).length;
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document.querySelector('.corpus-num-unique-simple-pos').innerHTML = Object.entries(corpusData.corpus.lexicon[0].freqs.simple_pos).length;
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document.querySelector('.corpus-num-tokens').innerHTML = corpusData.corpus.counts.token;
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document.querySelector('.corpus-num-s').innerHTML = corpusData.corpus.counts.s;
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document.querySelector('.corpus-num-unique-words').innerHTML = Object.entries(corpusData.corpus.freqs.word).length;
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document.querySelector('.corpus-num-unique-lemmas').innerHTML = Object.entries(corpusData.corpus.freqs.lemma).length;
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document.querySelector('.corpus-num-unique-pos').innerHTML = Object.entries(corpusData.corpus.freqs.pos).length;
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document.querySelector('.corpus-num-unique-simple-pos').innerHTML = Object.entries(corpusData.corpus.freqs.simple_pos).length;
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}
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renderTextInfoList(corpusData) {
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let corpusTextInfoListElement = document.querySelector('.corpus-text-info-list');
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let corpusTextInfoList = new CorpusTextInfoList(corpusTextInfoListElement);
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let texts = corpusData.text.lexicon;
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let texts = corpusData.s_attrs.text.lexicon;
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let textData = [];
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for (let i = 0; i < Object.entries(texts).length; i++) {
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let resource = {
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title: corpusData.lookups.text[i].title,
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publishing_year: corpusData.lookups.text[i].publishing_year,
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num_tokens: corpusData.text.lexicon[i].counts.token,
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num_sentences: corpusData.text.lexicon[i].counts.s,
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num_unique_words: Object.entries(corpusData.text.lexicon[i].freqs.word).length,
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num_unique_lemmas: Object.entries(corpusData.text.lexicon[i].freqs.lemma).length,
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num_unique_pos: Object.entries(corpusData.text.lexicon[i].freqs.pos).length,
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num_unique_simple_pos: Object.entries(corpusData.text.lexicon[i].freqs.simple_pos).length
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// title: "corpusData.values.text[i].title",
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// publishing_year: "corpusData.lookups.text[i].publishing_year",
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title: `Text ${i}`,
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publishing_year: "2023",
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num_tokens: corpusData.s_attrs.text.lexicon[i].counts.token,
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num_sentences: corpusData.s_attrs.text.lexicon[i].counts.s,
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num_unique_words: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.word).length,
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num_unique_lemmas: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.lemma).length,
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num_unique_pos: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.pos).length,
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num_unique_simple_pos: Object.entries(corpusData.s_attrs.text.lexicon[i].freqs.simple_pos).length
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};
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textData.push(resource);
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@ -148,33 +150,30 @@ class CorpusAnalysisApp {
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corpusTextInfoList.add(textData);
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let textCountChipElement = document.querySelector('.text-count-chip');
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textCountChipElement.innerHTML = `Text count: ${Object.values(corpusData.text.lexicon).length}`;
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textCountChipElement.innerHTML = `Text count: ${corpusData.corpus.counts.text}`;
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}
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renderTextProportionsGraphic(corpusData) {
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let textProportionsGraphicElement = document.querySelector('#text-proportions-graphic');
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let texts = Object.entries(corpusData.text.lexicon);
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let texts = Object.entries(corpusData.s_attrs.text.lexicon);
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let graphData = [
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{
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values: texts.map(text => text[1].counts.token),
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labels: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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// labels: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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labels: texts.map(text => text[0]),
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type: 'pie'
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}
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];
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let graphLayout = {
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// height: 600,
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// width: 900
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};
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let config = {responsive: true};
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Plotly.newPlot(textProportionsGraphicElement, graphData, graphLayout, config);
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Plotly.newPlot(textProportionsGraphicElement, graphData, config);
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}
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renderFrequenciesGraphic(corpusData) {
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let frequenciesTokenCategoryDropdownElement = document.querySelector('[data-target="frequencies-token-category-dropdown"]');
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let frequenciesTokenCategoryDropdownListElement = document.querySelector("#frequencies-token-category-dropdown");
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let frequenciesGraphicElement = document.querySelector('#frequencies-graphic');
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let texts = Object.entries(corpusData.text.lexicon);
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let texts = Object.entries(corpusData.s_attrs.text.lexicon);
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frequenciesTokenCategoryDropdownListElement.addEventListener('click', (event) => {
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@ -196,13 +195,14 @@ class CorpusAnalysisApp {
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createFrequenciesGraphData(category, texts, corpusData) {
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let graphData = [];
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let sortedData = Object.entries(corpusData.corpus.lexicon[0].freqs[category]).sort((a, b) => b[1] - a[1]).slice(0, 5);
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let sortedData = Object.entries(corpusData.corpus.freqs[category]).sort((a, b) => b[1] - a[1]).slice(0, 5);
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for (let item of sortedData) {
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let data = {
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x: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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// x: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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x: texts.map(text => text[0]),
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y: texts.map(text => text[1].freqs[category][item[0]]),
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name: corpusData.lookups[category][item[0]],
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name: corpusData.values.p_attrs[category][item[0]],
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type: 'bar'
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};
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graphData.push(data);
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@ -215,22 +215,22 @@ class CorpusAnalysisApp {
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let boundsGraphicElement = document.querySelector('#bounds-graphic');
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let graphData = [];
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let texts = Object.entries(corpusData.text.lexicon);
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let texts = Object.entries(corpusData.s_attrs.text.lexicon);
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graphData = [{
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type: 'bar',
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x: texts.map(text => text[1].bounds[1] - text[1].bounds[0]),
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y: texts.map(text => corpusData.lookups.text[text[0]].title),
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// y: texts.map(text => corpusData.lookups.text[text[0]].title),
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y: texts.map(text => text[0]),
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base: texts.map(text => text[1].bounds[0]),
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text: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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// text: texts.map(text => `${corpusData.lookups.text[text[0]].title} (${corpusData.lookups.text[text[0]].publishing_year})`),
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text: texts.map(text => text[0]),
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orientation: 'h',
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hovertemplate: '%{base} - %{x} <br>%{y}',
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showlegend: false
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}];
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let graphLayout = {
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// height: 600,
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// width: 2000,
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barmode: 'stack',
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type: 'bar',
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showgrid: false,
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