Learning how to work with the natural language toolkit (NLTK) library in python for sentiment analysis.
The "songs analyser" folder contains a set of close to 60,000 songs and the code chooses one at random and uses the nltk sentiment intensity analyser to determine how positive, negative and neutral the song is. You can also see the words that are considered positive or negative within the song lyrics.
The "anime theme analyser" folder contains close to 20,000 anime names with their summary and using the uses the nltk sentiment intensity analyser to determine how positive, negative and neutral the themes of anime are.