NLP related task

Goal: Perform a topic modelling analysis using LDA over a set of documents, and review results with your peers.

Tasks:

1. Choose a set of texts (corpus) that you want to analyse for topics
2. Clean the texts by removing formatting and/or HTML tags, ending up with raw text only
   
3. Load the texts into a .csv file where the first column is the ID of the document and the second column is its contents (raw text only)
   
4. Follow the tutorial at: https://tm4ss.github.io/docs/Tutorial_6_Topic_Models.html, performing the following steps using R:
   
   1. Text preprocessing: remove stop words, perform lemmatization, tokenize
      
   2. Model calculation: choose appropriate parameters and build LDA model
      
   3. Visualization of results: display results using word clouds and topic distribution graphs

Share your results in the forum and comment on the results of at least one of your fellow participants.