Chat analysis on WhatsApp: Part 2 -- Sentiment analysis and Data visualization with R

Having understood the context and starting point, now we will go a little further with the interaction between our two individuals and their open relationship (still maintaining their anonymity, of course, as "Él" (He) and "Ella" (She)), analyzing the diversity of vocabulary and performing sentiment analysis based on the expressed emojis. Okay, so going back, using the same libraries, same defined variables, and the same txt file so far, let's continue. You will remember that in the first part, using the stopwords() function, we discriminate the words whose meaning is little or nothing relevant. Based on this and looking for words that are repeated only by the same user, we can measure the diversity of vocabulary. So we will obtain as a result the following plot where we can see that She is the one who has the greatest diversity of lexicon.