The project is an analysis of data from Twitter regarding customer sentiment for 6 US airlines: American, Delta, Southwest Airlines, United, US Airways, and Virgin America.Then use Tensor Flow to predict the chance of a tweet to be positive,negative or neutral.. This project seeks to predict if a tweet if negative or positive using neural networks. The analysis have been conducted using tensorflow keras.
This is project was done as part of a data science course.
Google Collab Wandb Github
- Defining the Question
- Reading the Data.
- Checking the Data.
- Data Cleaning
- Merging the Dataframes
- Performing EDA
- Prediction Models
- Evaluation of the solution
- Challenging the solution
- Conclusion
To easily use this code you need: Google colab or Jupyter Notebook importation of pandas, numpy, tensorflow,nlkt and wordcloud
- Jackson Kyalo
- Dennis Kiarie
- Brian Muchira
- Iyline Chumo
Incase of enquiries,additional suggestions or concerns,get in touch. jackkyalo978@gmail.com