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Sentiment Analysis and Topic Modelling for Cililando

Group 16 - Members:

  • Jinan
  • Aaron
  • Fikri
  • Chun Xiang
  • Darren

The purpose of this project is to analyze the reviews and find their sentiment polarity scores which will be mapped to one of the 4 sentiment categories. The data contains 1428 objects, with either a comment or no comment. After preprocessing, the data is then fitted into 3 models:

  • TextBlob
  • VADER
  • LDA

An analysis of the sentiments and topics are visualized through bar plots, word clouds, etc.

About

Group assignment project for our Data Analytics and Machine Learning module. The aim is to help Chililando in analyzing and infering reviews from Shopee.

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