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@ -1,7 +1,7 @@
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<template>
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<div class="main-top">
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<span style="font-weight: bold; font-size: 18px; color: #3596eb">任务描述</span>
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<p style="font-weight: 400; font-size: 12px; color: #e2e7ee !important">使用“用户商品评论数据”，进行各类文本挖掘任务，分析评论情感情绪，最后提交实训任务。</p>
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<p style="font-weight: 400; font-size: 15px; color: #e2e7ee !important">使用“用户商品评论数据”，进行各类文本挖掘任务，分析评论情感情绪，最后提交实训任务。</p>
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</div>
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<div class="main-but">
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<el-button @click="knowledgeImport">
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@ -69,7 +69,9 @@
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<el-scrollbar height="550px" style="padding: 20px">
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<div>
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<span style="font-weight: bold; font-size: 18px; color: #3596eb">分析数据：</span>
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<div class="text-type" v-show="preProcessText.text3 == '评论观点抽取'">
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<el-button :class="s_commentType == text.id ? 'btnActive' : ''" v-for="text in textType" :key="text" type="primary" plain @click="commentType(text)">{{ text.name }}</el-button>
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</div>
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<div class="analysis">
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<el-input v-model="g_analyzeTheNumberOfDataItems" :rows="2" type="textarea" placeholder="" />
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</div>
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@ -120,7 +122,7 @@
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<div class="emotion_analysis_title">{{ g_emotionAnalysis == 0 ? "情感偏负向" : g_emotionAnalysis == 1 ? "情感偏中性" : "情感偏正向" }}</div>
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</div>
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</div>
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<div ref="captureElement" class="comment-opinion" v-if="preProcessText.text3 == '评论观点抽取'">
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<!-- <div ref="captureElement" class="comment-opinion" v-if="preProcessText.text3 == '评论观点抽取'">
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<div class="result" v-for="(item, sentiment) in aCommentOpinion" :key="item.abstract">
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<div class="result-pos" :class="sentiment == 0 ? 'result-neg' : sentiment == 1 ? 'result-neutral' : 'result-img'"></div>
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<div class="result-title">{{ sentiment == 0 ? "负向评价" : sentiment == 1 ? "中性评价" : "正向评价" }}:</div>
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@ -133,12 +135,22 @@
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<div class="result-bar"></div>
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</div>
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</div>
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</div> -->
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<div ref="captureElement" class="comment-opinion" v-if="preProcessText.text3 == '评论观点抽取'">
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<div class="result" v-for="(item, sentiment) in aCommentOpinion" :key="item.abstract">
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<div class="result-pos" :class="sentiment == 0 ? 'result-neg' : sentiment == 1 ? 'result-neutral' : 'result-img'"></div>
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<div class="result-title">{{ sentiment == 0 ? "负向评价" : sentiment == 1 ? "中性评价" : "正向评价" }}:</div>
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<div class="result-view" v-for="items in item" :key="items">
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{{ items.prop + items.adj }}
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<div class="result-bar"></div>
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</div>
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</div>
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</div>
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</div>
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</el-scrollbar>
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</div>
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</div>
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<el-dialog v-model="dialogVisible" title="实训任务提交" width="700" custom-class="dialogClass" :show-close="false">
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<el-dialog v-model="dialogVisible" title="实训任务提交" width="700" custom-class="dialogClass" :show-close="false" @close="closeDialog">
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<template #header="{ close, titleId, titleClass }">
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<div class="my-header">
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<span :id="titleId" :class="titleClass">实训任务提交</span>
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@ -503,13 +515,14 @@ const downloadStatus = ref(false);
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//提交校验
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const flat = ref(false);
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const g_submitVerification = ref({
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max: "13",
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frequency: "3",
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text1: "质量",
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text2: "包装好",
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max: "安装",
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frequency: "6",
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text1: "",
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text2: "",
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emotional: "负向",
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prominent: "的",
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prominent: "安装",
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});
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const s_commentType = ref("");
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// 预处理
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const preProcess = (tetx) => {
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if (g_indicatorData.value.length == 0) {
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@ -598,9 +611,15 @@ const submitTask = () => {
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return;
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} else {
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if (formInline.value[key] != g_submitVerification.value[key]) {
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const label = tableLabel.find((item) => item.prop == key);
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proxy.$modal.msgWarning(`${label.label}错误`);
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flat.value = true;
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// 判断text1或text2只要输入包装好,好评少就行顺序不重要
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if (key == "text1" || key == "text2") {
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const validTexts = ["text1", "text2"];
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if (validTexts.includes(key) && !["包装好", "好评少"].includes(formInline.value[key])) {
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flat.value = true;
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}
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} else {
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flat.value = true;
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}
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}
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}
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}
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@ -648,6 +667,8 @@ const restart = () => {
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nOriginalWordFrequencyNum.value = 0;
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aWordFrequency.value = [];
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nOriginalWordFrequency.value = [];
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s_commentType.value = "";
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aCommentOpinion.value = "";
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proxy.$modal.msgSuccess("重新开始!");
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multipleTableRef.value.clearSelection();
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};
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@ -709,7 +730,9 @@ const sentimentAnalysis = () => {
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if (preProcessText.value.text2 == "") return proxy.$modal.msgWarning("请先对数据进行预处理!");
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}
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if (preProcessText.value.text3 == "") return proxy.$modal.msgWarning("请先选择模型!");
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if (preProcessText.value.text3 === "评论观点抽取" && s_commentType.value == "") {
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return proxy.$modal.msgWarning("请先选择评论类型!");
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}
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if (g_analyzeTheNumberOfDataItems.value == "") return proxy.$modal.msgWarning("请先选择指标/手动输入进行情感分析!");
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loading.value = true;
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if (preProcessText.value.text3 === "情感倾向分析") {
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@ -740,7 +763,7 @@ const sentimentAnalysis = () => {
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.catch((err) => {
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loading.value = false;
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});
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} else if (preProcessText.value.text3 !== "评论观点抽取") {
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} else if (preProcessText.value.text3 !== "情感倾向分析") {
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marketingAlgorithmApi
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.getMarketingAlgorithmSentiment({ userId: n_dataTableQuery.value.userId, content: g_analyzeTheNumberOfDataItems.value, modelType: preProcessText.value.text3 == "词云生成" ? "词频分析" : preProcessText.value.text3 })
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.then((res) => {
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@ -751,33 +774,18 @@ const sentimentAnalysis = () => {
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nOriginalWordFrequency.value = res.data;
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aWordFrequency.value = res.data.slice(0, 5);
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nOriginalWordFrequencyNum.value = res.data.length;
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} else {
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aCommentOpinion.value = JSON.parse(res.data).items.reduce((groups, item) => {
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// 如果该 sentiment 的组不存在，则创建
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if (!groups[item.sentiment]) {
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groups[item.sentiment] = [];
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}
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// 将 item 加入到相应的组中
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groups[item.sentiment].push(item);
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return groups;
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}, {});
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}
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downloadStatus.value = true;
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g_submitVerification.value.n_maximumQuantity = nOriginalWordFrequency.value.reduce((longest, current) => {
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return current.keyword.length > longest.keyword.length ? current.keyword : longest.keyword;
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}, nOriginalWordFrequency.value[0]);
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g_submitVerification.value.n_frequency = nOriginalWordFrequency.value.reduce((longest, current) => {
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return item.frequency > max.frequency ? item.n_frequency : max.n_frequency;
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}, nOriginalWordFrequency.value[0]);
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console.log(g_submitVerification.value, "g_submitVerification.value.");
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loading.value = false;
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proxy.$modal.msgSuccess("分析成功");
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})
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.catch((err) => {
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loading.value = false;
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});
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} else {
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portraitModel
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.getCommentPoint(JSON.stringify({ text: g_analyzeTheNumberOfDataItems.value }))
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.then((res) => {
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aCommentOpinion.value = res.singleAnalysisResult.reduce((groups, item) => {
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if (!groups[item.sentiment == "正向" ? 2 : 0]) {
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groups[item.sentiment == "正向" ? 2 : 0] = [];
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}
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groups[item.sentiment == "正向" ? 2 : 0].push(item);
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return groups;
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}, {});
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downloadStatus.value = true;
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loading.value = false;
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proxy.$modal.msgSuccess("分析成功");
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})
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@ -785,6 +793,25 @@ const sentimentAnalysis = () => {
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loading.value = false;
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});
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}
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// else {
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// portraitModel
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// .getCommentPoint(JSON.stringify({ text: g_analyzeTheNumberOfDataItems.value }))
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// .then((res) => {
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// aCommentOpinion.value = res.singleAnalysisResult.reduce((groups, item) => {
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// if (!groups[item.sentiment == "正向" ? 2 : 0]) {
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// groups[item.sentiment == "正向" ? 2 : 0] = [];
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// }
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// groups[item.sentiment == "正向" ? 2 : 0].push(item);
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// return groups;
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// }, {});
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// downloadStatus.value = true;
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// loading.value = false;
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// proxy.$modal.msgSuccess("分析成功");
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// })
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// .catch((err) => {
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// loading.value = false;
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// });
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// }
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};
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// 清空
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const clear = () => {
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@ -793,6 +820,8 @@ const clear = () => {
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aWordFrequency.value = [];
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loading.value = false;
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downloadStatus.value = false;
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aCommentOpinion.value = [];
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s_commentType.value = "";
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proxy.$modal.msgSuccess("清空成功");
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};
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const initChart = () => {
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@ -809,6 +838,8 @@ const initChart = () => {
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x: "center",
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textStyle: {
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fontSize: 23,
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color: "#000000",
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},
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},
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backgroundColor: "#ffffff",
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@ -826,24 +857,24 @@ const initChart = () => {
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},
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},
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},
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series: [
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{
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name: "词云分析",
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type: "wordCloud",
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// //size: ['9%', '99%'],
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sizeRange: [6, 66],
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// //textRotation: [0, 45, 90, -45],
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rotationRange: [-45, 90],
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// //shape: 'circle',
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// gridSize: 5,
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// sizeRange: [12, 32],
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width: "90%",
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height: "86%",
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textPadding: 0,
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size: ["9%", "99%"],
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sizeRange: [33, 80], // 调整大小范围
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textRotation: [0, 45, 90, -45],
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rotationRange: [-90, 90], // 增大旋转角度范围
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shape: "circle",
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gridSize: 5, // 减小间距
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sizeRange: [33, 80], // 调整大小范围
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width: "100%", // 铺满容器宽度
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height: "100%", // 铺满容器高度
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textPadding: 10, // 减少内边距
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autoSize: {
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enable: true,
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minSize: 16,
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minSize: 33, // 设置最小尺寸
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maxSize: 80, // 设置最大尺寸
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},
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textStyle: {
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color: function () {
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@ -859,7 +890,6 @@ const initChart = () => {
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],
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});
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};
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const wordFrequencyNext = () => {
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if (mWordFrequency.value.frequency !== "" || mWordFrequency.value.namenum !== "") {
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wordFrequencySearch();
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@ -892,7 +922,18 @@ const switchingModels = () => {
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mWordFrequency.value.size = 5;
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mWordFrequency.value.frequency = "";
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mWordFrequency.value.namenum = "";
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s_commentType.value = "";
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};
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const commentType = (text) => {
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s_commentType.value = text.id;
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};
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const closeDialog=()=>{
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dialogVisible.value = false;
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flat.value = false
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for (let key in formInline.value) {
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formInline.value[key] = "";
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}
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}
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</script>
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<style lang="scss" scoped>
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qinzhenpen
2 years ago