Scripts and functions for collecting, cleaning and processing tweets to obtain a model for # recommendations. Steps.
- Collect twitter data - run GetCityTweetsUSA.py to start collecting tweets
- Process the data and store to a database using - ProcessTweets.py
- Create a vector-space model to recommend #’s using - TrainSaveModel.py
LoadCleanTweets.py contains all the functions and a class for processing the tweets. HollaFunctions.py contains functions for processing the data and training the model.