Merge branch 'feat/new-version' into main

Author: ndabAP

README.md

@@ -6,7 +6,7 @@ selected entities (like Xi Jingping or ISIS). Go straight to the
 [website](https://ndabap.github.io/entityscrape/index.html)!
 
 The Go package [assocentity](https://github.com/ndabAP/assocentity) was
-used for creating this experiment. You can create new ones with updating the
+used for creating this experiment. You can create new ones by updating the
 `source/entities.txt` file and run the CLI with the provided Visual Studio Code
 debug configuration.
 

docs/assets/index.4a525f31.js

@@ -6,7 +6,7 @@
   <link rel="icon" href="/entityscrape/favicon.ico">
   <meta name="viewport" content="width=device-width, initial-scale=1.0">
   <title>entityscrape</title>
-  <script type="module" crossorigin src="/entityscrape/assets/index.1ffcbe9f.js"></script>
+  <script type="module" crossorigin src="/entityscrape/assets/index.4a525f31.js"></script>
   <link rel="stylesheet" href="/entityscrape/assets/index.de220886.css">
 </head>
 

docs/index.html

@@ -159,9 +159,14 @@ func scrape(texts, entities []string, tokenizer tokenize.Tokenizer) error {
 			continue
 		}
 
+		// Ignore unusual missmatches
+		poS, ok := tokenize.PoSMapStr[meanVal.tok.PoS]
+		if !ok {
+			continue
+		}
 		topMeanVals = append(topMeanVals, topMeanVal{
 			Dist: meanVal.dist,
-			PoS:  tokenize.PoSMapStr[meanVal.tok.PoS],
+			PoS:  poS,
 			Text: meanVal.tok.Text,
 		})
 
@@ -211,7 +216,12 @@ func readArticles(path string) (articles [][]string, err error) {
 }
 
 func accumTexts(articles [][]string) (texts []string) {
-	// For [[ID1, DATE1, LINK1, TITLE1, SUBTILE1, TEXT1], [ID2, DATE2, LINK2, TITLE2, SUBTILE2, TEXT2], ...]
+	// For
+	//	[
+	//		[ID1, DATE1, LINK1, TITLE1, SUBTILE1, TEXT1],
+	//		[ID2, DATE2, LINK2, TITLE2, SUBTILE2, TEXT2],
+	//		...
+	//	]
 	for _, article := range articles[1:] { // Remove CSV header
 		// Or: text := article[5]
 		for idx, text := range article {

main.go

@@ -10,7 +10,7 @@
     <p>
       The Go package
       <a href="https://github.com/ndabAP/assocentity">assocentity</a> was used
-      for creating this experiment. You can create new ones with updating the
+      for creating this experiment. You can create new ones by updating the
       <code>source/entities.txt</code> file and run the CLI with the provided
       Visual Studio Code debug configuration. The experiments source code can be
       found at
@@ -40,6 +40,7 @@
                 display: false,
               },
             },
+
             y: {
               ticks: {
                 font: {
@@ -133,41 +134,41 @@ export default defineComponent({
       });
     }
 
-    let meanN = [];
+    let mean = [];
     const fetchEntity = async (entity) => {
       entity = entity.toLowerCase().replace(/ /g, "+");
       const response = await fetch(`${import.meta.env.BASE_URL}${entity}.json`);
-      meanN = await response.json();
+      mean = await response.json();
     };
 
-    const filterPosMeanN = () => {
-      posMeanN.splice(0);
-      meanN.forEach((meanN) => {
+    const filterPosMean = () => {
+      posMean.splice(0);
+      mean.forEach((meanN) => {
         if (selectedPos.value === meanN.pos) {
-          posMeanN.push(meanN);
+          posMean.push(meanN);
         }
       });
     };
 
-    let posMeanN = reactive([]);
+    let posMean = reactive([]);
     const chartData = computed(() => {
-      if (posMeanN.length === 0) {
+      if (posMean.length === 0) {
         return {
           labels: [],
           datasets: [],
         };
       }
 
       return {
-        labels: posMeanN.map((meanN) => {
-          return meanN.text;
+        labels: posMean.map((mean) => {
+          return mean.text;
         }),
 
         datasets: [
           {
             label: "Mean distances",
-            data: posMeanN.map((meanN) => {
-              return meanN.distance;
+            data: posMean.map((mean) => {
+              return mean.distance;
             }),
           },
         ],
@@ -178,13 +179,13 @@ export default defineComponent({
       await fetchEntity(selectedEntity.value);
 
       watch(selectedPos, () => {
-        filterPosMeanN();
+        filterPosMean();
       });
       selectedPos.value = "ADJ";
 
       watch(selectedEntity, async (entity) => {
         await fetchEntity(entity);
-        filterPosMeanN();
+        filterPosMean();
       });
     });