sd17spring · aliolin · Feb 23, 2017 · Feb 23, 2017 · Feb 23, 2017 · Apr 24, 2017
diff --git a/README.md b/README.md
@@ -1,3 +1,6 @@
 # TextMining
 
 This is the base repo for the text mining and analysis project for Software Design at Olin College.
+
+Changed Readme so that I can have a release branch.
+Accidently committed to master, so please excuse me for that.
diff --git a/bbc.pickle b/bbc.pickle
diff --git a/cnn.pickle b/cnn.pickle
diff --git a/dataAnalysis.py b/dataAnalysis.py
@@ -0,0 +1,28 @@
+import pickle
+from bs4 import BeautifulSoup
+from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
+
+def analyzer(filename):
+    input_file = open(filename, 'rb')
+    websitee = pickle.load(input_file)
+
+    soup = BeautifulSoup(websitee, "html.parser")
+
+    text = soup.get_text()
+    count = 0
+    newtext = text.split()
+    for i in newtext:
+        if(i == "trump" or i == "Trump"):
+            count += 1
+    analyze = SentimentIntensityAnalyzer()
+    scores = analyze.polarity_scores(text)
+    return count, scores
+
+
+if __name__ == "__main__":
+    websites = ['bbc.pickle', 'cnn.pickle', 'foxnews.pickle']
+    for i in websites:
+        count = analyzer(i)[0]
+        scores = analyzer(i)[1]
+        print("Number of times Trump is mentioned: " , count)
+        print("Positivity/Negativity score: ", scores)
diff --git a/foxnews.pickle b/foxnews.pickle
diff --git a/sodezz.pdf b/sodezz.pdf
diff --git a/textmining.py b/textmining.py
@@ -0,0 +1,7 @@
+import requests
+import pickle
+website = 'http://cnn.com'
+sampleText = requests.get(website).text
+f = open('cnn.pickle', 'wb')
+pickle.dump(sampleText, f)
+f.close()