Twitter Sentiment Analysis of Universities in Singapore
The aim of this project is to analyse the tweets from the top three universities in Singapore.
This is a group project for H6751 Text and Web Mining
program05.ipny – code to train algorithm, extract tweets, classify tweets and analysis
report05.pdf - Project report
presentation05.pptx - Powerpoint file of Presentation
presentation05.mp4 - Presentation of the project with narration
Sentiment140.csv – training dataset from Kaggle
Test.csv – preprocessed Kaggle test data using train_test_split(test_size = 0.2)
train.csv – preprocessed Kaggle train data using train_test_split(test_size = 0.2)
result.csv – test accuracy, training accuracy and time for various classifiers
ntu0.csv – tweets data from NTU
nus0.csv – tweets data on NUS
smu0.csv – tweets data on SMU
ntu_sentiment.csv – tweets data from NTU with sentiment classification
nus_sentiment.csv – tweets data from NUS with sentiment classification
smu_sentiment.csv – tweets data from SMU with sentiment classification
program05.ipny – code to train algorithm, extract tweets, classify tweets and analysis