From 406e85d0491b6a851071a1d80f3ddde638a90827 Mon Sep 17 00:00:00 2001
From: brandiw <brandimichelle.0911@gmail.com>
Date: Thu, 1 Jun 2017 15:41:04 -0700
Subject: [PATCH] Grammar suggestions

---
 README.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index c1033aa..f201332 100644
--- a/README.md
+++ b/README.md
@@ -1,24 +1,24 @@
 <h1>WhatDoTheyThink</h1>
-<h4> General Assembly Project 3 by Mark Goldstein and Peter Amadon</h4>
+<h4>General Assembly Project 3 by Mark Goldstein and Peter Amadon</h4>
 
 <h2>Technologies Used:</h2>
 <ol>
-<li>Html + Css</li>
+<li>HTML + CSS</li>
 <li>Node.js</li>
 <li>Mongodb: We used Mongodb and Mlab for our database</li>
 <li>Angular.js for simple and easy to use format</li>
 <li>Async Node module to handle our linked API calls</li>
-<li>Watson Natual language API: The watson natual language API allows us to process the sentiment of each article. By doing so we can view how positive or negative the article views its topic as well as the individuals written about there in.</li>
+<li>Watson Natual Language API: The Watson Natual Language API allows us to process the sentiment of each article. By doing so we can view how positive or negative the article views its topic as well as the individuals written about there in.</li>
 <li>NewsAPI: The NewsAPI was used to grab articles from a few sources to be put through WATSON. </li>
-<li>AMcharts.js: used to visual the data we collected</li>
+<li>AMcharts.js: used to visualize the data we collected</li>
 </ol>
 
 <h2>Use Cases/User Stories:</h2>
 <ul>
 <li>Informed daily Consumer: Many individuals consume media from many  sources in a single day. It is possible that without your knowledge you are being subjected to a specific view point and do not even know that you dont see the other side. By checking the sentiment score for a topic you frequently read from the sources your typically go to it will be possible to identify if they lean positive or negative on the subject to illuminate for you reader whether or not they are recieving a balanced view.   </li>
 <li>Bloggers: Bloggers highlighting the differences between reporting styles and rhetoric could download our graphs as examples of the sources proclivity to report on an issue in a certain way. By continuing to grab the graphs they build a detailed timeline for a specific sources movement more negative or positive reporting.  </li>
-<li>Local news stations: Running stories on the alt right or new liberals can be difficult! By running analysis on their rhetoric it has become to easy to identify the fearmongering tactics used by those who wish to divide us! Watson natural language API tracks the emotions associated with articles and can allow local news stations to report of the divisiveness of these groups.  </li>
-<li>Personal Interest: Whatdotheythink can also provide interesting data for those simple trolling the interenet for intersting things. Ever wonder whether the BBC and the New York Times feel the same way about NATO? By combining the search and analysis into one step we have created a one stop shop for interested parties. </li>
+<li>Local news stations: Running stories on the alt right or new liberals can be difficult! By running analysis on their rhetoric it has become to easy to identify the fear-mongering tactics used by those who wish to divide us! Watson natural language API tracks the emotions associated with articles and can allow local news stations to report of the divisiveness of these groups.  </li>
+<li>Personal Interest: Whatdotheythink can also provide interesting data for those simply browsing the interenet for intersting things. Ever wonder whether the BBC and the New York Times feel the same way about NATO? By combining the search and analysis into one step we have created a one stop shop for interested parties. </li>
 </ul>
 
 
@@ -40,7 +40,7 @@
     <li>Run "npm install" in your terminal</li>
     <li>Run Mongod: to ensure the data as a place to go</li>
 		<li>Retireve API keys from both <a href="https://newsapi.org/">NEWSAPI</a> and <a href="https://www.ibm.com/watson/developercloud/natural-language-understanding.html">WATSON NATURAL LANGUAGE</a></li>
-    <li>Create a .env file and populate it with your keys making sure they look like this: KEY_NAME="KEY".</li>
+    <li>Create an .env file and populate it with your keys making sure they look like this: KEY_NAME="KEY".</li>
 		<li>Run Nodemon</li>
 </ul>