Many companies are built around lessening one’s environmental impact or carbon footprint. They offer products and services that are environmentally friendly and sustainable, in line with their values and ideals. These companies would like to determine how people perceive climate change and whether or not they believe it is a real threat. This insight would add to their market research efforts in gauging how their product/service may be received.
Climate change is on the rise and there is a growing group of people who are skeptical of whether or not climate change is real or a hoax.
As part of a Data Science team for a Marketing research company, doing research for an environmental consultancy. Our research is based on building a sentiment analsyis model to classify whether a person is for, against, or nuetral towards climate change based off of a tweet.
The environmental company wants to use the research finding to build awarness campaigns on climate change and global warming!
The dataset aggregates tweets pertaining to climate change collected between Apr 27, 2015 and Feb 21, 2018.
| File Name | Description |
|---|---|
train.csv |
train dataset 15810 observation. |
test_with_no_labels.csv |
test dataset with 10510 observations. |
sample_submission.csv |
sample submission file with tweetid and sentiment columns. |
The dataset aggregates tweets pertaining to climate change collected between Apr 27, 2015 and Feb 21, 2018. Each tweet is labelled as one of the following classes:
| Class | Description |
|---|---|
| 2 | News - The tweet links to factual news about climate change |
| 1 | Pro - the tweet supports the belief of man-made climate change |
| 0 | Neutral - the tweet neither supports nor refutes the belief of man-made climate change |
| -1 | Anti - the tweet does not believe in man made climate change |
Blessing Mvana Nhlozi, Mpilenhle Hlatshwayo, Sello Mafikeng, Rebecca Kekana, Anga Mandiyata