AIM OF THE PROJECT

The aim of the project is to determine how people are feeling when they share something on twitter.

For example; 

“ I'm so happy today! ”    =>    Positive

" I feel bad :( ”                  =>    Negative

ROAD MAP

1.Collect Tweets

• Tweets;

• from Twitter API

• using Tweepy Helper Library

• Requirements

• Twitter Developer Application for authantication

2.Clean Tweets

• Hashtags ( # )

• Remove;

• Mentions ( @ )

• Links ( http://.. )

• Retweets ( RT .. )

• Limit ( length(word) > 2 )

3. LABEL & ForMAT

• Emoticons ( 😃 )

• Label by;

• Adjectives ( "perfect, sad, .." )

• Textual Emoticons ( ":D" )

• ( "Weather is perfect today 😃", "positive" )

• Format;

• ( "Rain makes me sad 😞", "negative" )

4.EXTRACT FEATURES  & TRAIN DATA

[ "feel", "amazing", "today", "the", "view", "amazing",... ]

"I feel amazing today!"

"The view is amazing!"

...

nltk.FreqDist(wordlist)

  ["love", "this", "car"] :  positive

...

nltk.NaiveBayesClassifier

.train(training_set)

Training Set;

...

classifier

NAIVE BAYES EXAMPLE

Should we play when outlook is overcast ?

5.CLASSIFY

Improvements

• Populate more training data
• Try other classification algorithms
• User interface

thank you for lıstenıng