Sigmoid transform diversity score (#16)

src/index.js

@@ -16,6 +16,7 @@ async function on_start() {
                 const abs_change = Math.abs((abs_max_score + page_score) - (abs_max_score + avg_score));
 
                 let diversity_score = max_diversiry_score * (abs_change/(abs_max_score*2));
+                diversity_score = _sigmoid_transformation(diversity_score)
                 diversity_score = Math.ceil(diversity_score/5)*5;
 
                 UiService.update_ui(normalized_number, political_lean, diversity_score);
@@ -26,6 +27,10 @@ async function on_start() {
     );
 }
 
+function _sigmoid_transformation(diversity_score) {
+    return 100/(1+Math.exp(4 - 0.16*diversity_score))
+}
+
 window.onload = function() {
     on_start();
 }

src/services/ui_service.js

@@ -59,12 +59,14 @@ export default class UiService {
       1: "This is kind of what you're used to reading, try browsing other websites to hear something new!",
       2: "This is a little different from what you normally read, nice work and keep searching!",
       3: "This is quite different from your typical reading material, good job finding a new perspective!",
-      4: "This is drastically different from your typical news articles, excellent work finding new views!"
+      4: "This is very different from what news articles you normally read, great work finding this page!",
+      5: "This is drastically different from your typical news articles, excellent work finding new views!"
     }
 
-    const abs_normalized_num = Math.abs(normalized_number);
     const normalized_diversity_score = Math.round(diversity_score/20);
     const diversity_response = diversity_response_dict[normalized_diversity_score];
+
+    const abs_normalized_num = Math.abs(normalized_number);
     const adjective = num_to_ui_dict[abs_normalized_num];
     const text = `We have analyzed this text to be ${adjective.toLowerCase()} ${political_lean}. ${diversity_response}`;