Topic modeling using R

Hi,

Can you please assist in refining the findings of the data extracted from Twitter.
1- for the clustering algorithm, can you please plot the finding results).
2-for TF-IDF: how could you compute the TF for the TF-IDF weight? TF stands for term frequency, so I need to record how many times a word occurs.
3-For topic modeling: LDA AND NMF fir french language. You can find the stopwords in this attached link.https://countwordsfree.com/stopwords/french . It is likely to get better results in removing the French stopwords before applying the topics models.

- I have attached the data to be analyzed.

I would appreciate if you can help on this,
Best regards.
Aida.