Minor changes for presentation

mainpage.html

@@ -34,6 +34,24 @@
         <img src="res/icon_big.png" />
         <!--https://image.flaticon.com/icons/svg/124/124021.svg-->
         <h1>Twitter Analyzer</h1>
+        <!--
+ <p class="info">
+          Natural Language Processing is a powerful tool and is used by
+          companies to conduct large market research. Twitter Analyzer lets you,
+          the user, do the exact same thing as companies on your own computer.
+          For free. Before you get started, here are a few things to know:
+        </p></br>
+        <p class = "info">
+            Natural Language Processing takes in text and spits out a sentiment. A
+            sentiment consist of two parts: a score and a magnitude. Sentiment
+            score represents a persons positivity and is in the range of [-1.0,
+            1.0], where a negative score means negativity whilst a positive score
+            means positivity. Sentiment magnitude represent the emotionality of a
+            person, how strongly they feel about something. Magnitude is
+            represented as a positive number, with no upper limit.
+        </p>
+        -->
+
         <div class="handle_input_field">
           <input
             type="text"
@@ -60,7 +78,7 @@ <h2>
             <li><span>D</span>onghui Sun</li>
             <li><span>V</span>ladimir Monakhov</li>
           </ul>
-          Made using NodeJS, ChartJS, JQuery and Google NLP API
+          Made using NodeJS, ChartJS, and JQuery
         </h2>
       </div>
     </div>

mainstyle.css

@@ -263,7 +263,16 @@ li {
   margin: 0 auto;
 }
 
-#GroupName{
+#GroupName {
   padding-left: 15px;
-  padding-top: 50px
-}
+  padding-top: 50px;
+}
+.info {
+  width: 40%;
+  color: black;
+  font-weight: 800;
+  font-size: 125%;
+
+  background-color: rgba(100, 100, 100, 0.7);
+  border-radius: 5%;
+}

package.json

@@ -1,6 +1,6 @@
 {
   "name": "twitter-analyzer",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "description": "Analyzes Twitter Accounts",
   "icon": "res/icon.ico",
   "main": "./dist/main.js",

src/main.ts

@@ -16,6 +16,7 @@ function createWindow() {
   // and load the index.html of the app.
   mainWindow.loadFile(path.join(__dirname, "../mainpage.html"));
   console.log(isDev);
+  mainWindow.setMenu(null);
   if (!isDev) {
     mainWindow.setMenu(null);
     mainWindow.webContents.closeDevTools();

src/twitter.ts

@@ -26,41 +26,41 @@ export type TwitterUser = {
 
 export type HashtagObject = {
   text: string;
-}
+};
 export type URLObject = {
   display_url: string; //url as displayed
   expanded_url: string; //expanded into browser
-}
+};
 export type MentionObject = {
   id: number; //id of mentioned user
   name: string; //Display name of mentioned
   screen_name: string; //Unique handle of mentioned
-}
+};
 export type Place = {
-  id: number; 
+  id: number;
   place_type: string; //"city"
   name: string; //human-readable
   full_name: string; //Manhattan, NY
   country_code: string; //US
   country: string; //United States
-}
+};
 
 //TODO: Fix experimental export:
 export type TweetEntities = {
   hashtags: HashtagObject[]; // #hashtag
   media: any[]; // Note: Nonexistent if no embedded media
   urls: URLObject[];
-  user_mentions: MentionObject[]; 
+  user_mentions: MentionObject[];
   symbols: any[]; // ???
-}
+};
 
 export type TweetData = {
   user: TwitterUser;
   /** Contents of the tweet */
   text: string;
   created_at: string;
   favorite_count: number;
-  retweet_count: number; 
+  retweet_count: number;
   coordinates: Coordinates; //?null
   entities: TweetEntities;
   retweeted_status: any; //Exists only if this post is a retweet
@@ -119,7 +119,7 @@ export class TwitterAPI {
         method: "GET",
         qs: {
           screen_name: username,
-          count: isDev ? 50 : 200 //Max amount of tweets we can request.
+          count: 150 //Max amount of tweets we can request.
         },
         headers: {
           Authorization: "Bearer " + authToken