Code Added

Author: the-javapocalypse

main.py

@@ -0,0 +1,116 @@
+#importing dependencies
+
+from textblob import TextBlob
+import sys,tweepy
+
+
+# function to calculate percentage
+def percentage(part, whole):
+ return 100 * float(part)/float(whole)
+
+
+
+#BMP mapping
+non_bmp_map = dict.fromkeys(range(0x10000, sys.maxunicode + 1), 0xfffd)
+
+
+#authenticating
+consumerKey = ''
+consumerSecret = ''
+accessToken = ''
+accessTokenSecret = '' 
+auth = tweepy.OAuthHandler(consumerKey, consumerSecret)
+auth.set_access_token(accessToken, accessTokenSecret)
+api = tweepy.API(auth)
+
+
+#input for term to be searched and how many tweets to search
+searchTerm = input("Enter Keyword/Tag to search about: ")
+NoOfTerms = int(input("Enter how many tweets to search: "))
+
+
+#searching for tweets
+tweets = tweepy.Cursor(api.search, q=searchTerm).items(NoOfTerms)
+
+
+#creating some variables to store info
+polarity = 0
+positive = 0
+wpositive = 0
+spositive = 0
+negative = 0
+wnegative = 0
+snegative = 0
+neutral = 0
+
+
+#iterating through tweets
+for tweet in tweets:
+ #print (tweet.text.translate(non_bmp_map)) #print tweet's text
+ analysis = TextBlob(tweet.text)
+ #print(analysis.sentiment) #print tweet's polarity
+ polarity+=analysis.sentiment.polarity #adding up polarities to find the average later
+ 
+ if (analysis.sentiment.polarity==0): #adding reaction of how people are reacting to find average later
+ neutral+=1
+ elif (analysis.sentiment.polarity>0 and analysis.sentiment.polarity<=0.3):
+ wpositive+=1
+ elif (analysis.sentiment.polarity>0.3 and analysis.sentiment.polarity<=0.6):
+ positive+=1
+ elif (analysis.sentiment.polarity>0.6 and analysis.sentiment.polarity<=1):
+ spositive+=1
+ elif (analysis.sentiment.polarity>-0.3 and analysis.sentiment.polarity<=0):
+ wnegative+=1
+ elif (analysis.sentiment.polarity>-0.6 and analysis.sentiment.polarity<=-0.3):
+ negative+=1
+ elif (analysis.sentiment.polarity>-1 and analysis.sentiment.polarity<=-0.6):
+ snegative+=1 
+
+
+
+#finding average of how people are reacting
+positive = percentage(positive, NoOfTerms)
+wpositive = percentage(wpositive, NoOfTerms)
+spositive = percentage(spositive, NoOfTerms)
+negative = percentage(negative, NoOfTerms)
+wnegative = percentage(wnegative, NoOfTerms)
+snegative = percentage(snegative, NoOfTerms)
+neutral = percentage(neutral, NoOfTerms)
+
+
+#finding average reaction
+polarity = polarity/NoOfTerms
+
+
+#printing out data
+print("How people are reacting on "+searchTerm+" by analyzing "+str(NoOfTerms)+" tweets.")
+print()
+print("General Report: ")
+
+if (polarity==0):
+ print("Neutral")
+elif (polarity>0 and polarity<=0.3):
+ print("Weakly Positive")
+elif (polarity>0.3 and polarity<=0.6):
+ print("Positive")
+elif (polarity>0.6 and polarity<=1):
+ print("Strongly Positive")
+elif (polarity>-0.3 and polarity<=0):
+ print("Weakly Negative")
+elif (polarity>-0.6 and polarity<=-0.3):
+ print("Negative")
+elif (polarity>-1 and polarity<=-0.6):
+ print("Strongly Negative") 
+
+
+print()
+print("Detailed Report: ")
+print( str(positive) + "% people thought it was positive")
+print( str(wpositive) + "% people thought it was weakly positive")
+print( str(spositive) + "% people thought it was strongly positive")
+print( str(negative) + "% people thought it was negative")
+print( str(wnegative) + "% people thought it was weakly negative")
+print( str(snegative) + "% people thought it was strongly negative")
+print( str(neutral) + "% people thought it was neutral")
+
+