Twitter-Sentiment-Analysis

From Twitter US Airline Sentiment Dataset, which contains data for over 14000 tweets, aim is to predict the sentiment of the tweet i.e. positive, negative or neutral.

Performed using 2 classifiers:

• NaiveBayesClassifier
• SVC

Result:

Got an accuracy of 0.78877 on NaiveBayes and accuracy of 0.79183 on SVC

• Improvemnet can be made by tuning the Parameter values for SVC