![]() ![]() ![]() Ty_sentiment <- get_nrc_sentiment((lyrics_text)) # Getting the sentiment value for the lyrics We’ll are using the ‘bing’ method of ‘syuzhet’ package for this visualization. This will be another word cloud, but this time we’re going to segregate the words into positive and negative polarity. This makes sense as many of her songs are actually about love and heartbreak. We can see that ‘love’ is the most frequently used word and the other high frequency words are ‘like’, ‘never’, ‘say’, ‘heart’ and ‘ill’. This gives us the following visualization: Max.words= 200, random.order= FALSE, rot.per= 0.15, Wordcloud(words = lyrics_wc_df$word, freq = lyrics_wc_df$freq, Lyrics_wc_df <- ame(word=names(word_freqs), freq=word_freqs) # creating a data frame with words and their frequencies Word_freqs = sort(rowSums(m), decreasing= TRUE) # getting word counts in decreasing order Lyrics_text<- gsub( "(])\1 ", "", lyrics_text)ĭocs <- Corpus(VectorSource(lyrics_text))ĭocs <- tm_map(docs, content_transformer(tolower))ĭocs <- tm_map(docs, removeWords, stopwords( "english")) #Removing punctuations and alphanumeric content Mutate(tracks = map2(artist, album, genius_album)) After that we will create a word cloud to get an overview of the word frequency. Let’s begin by loading the required packages. What does the valence score vary for her albums? (Spotify API will be used here).What type of relationship exists between the emotions and the albums?.Which are the songs associated with different emotions?.Which are the top words used to describe different emotions?. ![]() What are the overall sentiments expressed in her songs?.Which are the positive and negative words prevalent in her songs?.What are the most frequent words used by her?.Given below are the specific questions we’ll answer: The goal of this study is to perform text mining techniques, specifically Natural Language Processing (NLP) on the lyrics to uncover the underlying emotions and sentiments. In total the data set consists of 41 tracks and the following data fields: The API allowed me to download the lyrics and associated data points. ![]()
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