## Competition

Welcome to the **Airbus Finance NLP Kaggle Competition** on classifying Twitter comments regarding airlines. 

* Participants will be provided with a dataset of tweets related to various airlines, along with their sentiment labels (positive or negative)(airline_sentiment_train.csv)
* We will process the text using common **Natural Language Processing (NLP)** techniques
* We will train a **ML Classification Model**
* Participants will also be provided with a dataset of tweets without a sentiment label (airline_sentiment_test.csv)
* Each team will submit their predictions and see their ranking in the **Leaderboard** section


## Python Code:
* A working code will be provided, only minor adjustments required
* The aim of this session is not to completely understand the code, but what the code is performing
* Don't worry if some parts of the code are unclear

Good luck, and we look forward to seeing your sentiment analysis!

## Prize
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- Inline `code` should be encapsulated by back-ticks \``. 
- Block code should have  \``` as the first and last line of the block to produce
