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

Files uploaded to GitHub

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