Data analysis of the data collected with the instagramscraper
With the data collected through the instagramscraper the following notebooks show the analysis of that data.
- analyses the data collected from the 50 most followed accounts from some very 'interesting' accounts and draws some conclusions from the type of posts that perform the best compared with the posts of the other accounts.
- prepares the data (collection of the commnents under the posts of those 50 most popular accounts.
- checks with a grid search which parameters for the future model would work the best of the data.
- builds a machine learning linear support-vector machine sentiment analysis model of the comments.
- builds a ML model as well, but with Naive Bayes.