Climate change is an issue that require immediate attention. Thus, more business adopting sustainable and eco-friendly services and products. Therefore, it is critical to understand people's perception of this topics. To achieve that, we analysed tweets from Twitter to fain valuable insights towards people's sentiments.

Research Question

1. How has the trend in climate change awareness shifted over time?
2. What is the ruling sentiment amongst peopel towards climate change?

• Load labelled pre-process data from kaggle

• Scrape unlabelled data from Twitter API

• Clean and merge two dataset

• Clustering and trying to label unlabelled data

• Create classifier model to predict a sentiment of the tweets

• Topics Modeling of the dataset

• Sentimental and Topics Modeling Report
• Presentation

• Jitrayu Punrattanapongs

• Terje Espedal

• Hiya Banerjee

• Serene Kasamani

• Rui Xue

• Allison Stephens

• Samer El-Hage Hammoud

We are group of master student in MSc Digital Marketing & Data Science program at emlyon business school. This report are part of Machine Learning & Business case teach by professor Jean Savinien.