analyzing music genres

I've already explained this below and shown on video, but I didn't put it specifically step-by-step instructions -- so, here it is . . .

If you are doing music and you want to do your analysis for the body of the paper to be on specific genre of music, you will need to follow these steps (Here I use the example of gender x jazz):

1. Open the coded backup file

2. Do a text search query on your genre of music (e..g, jazz) within the sources of men x music.  Go to text search query and type in the word jazz in the search query, and tell it to search only in music-men. Create it as a new node, saved in nodes, called "men and jazz music," and SPREAD TO "NARROW". DO NOT SPREAD TO BROAD CONTEXT OR YOU WILL GET OTHER QUOTES BESIDES MUSIC.

3. . Do a text search query on your genre of music (e..g, jazz) within the sources of women x music. Go to text search query and type in the word jazz in the search query, and tell it to search only in music-women. Create it as a new node, saved in nodes, called "women and jazz music," and SPREAD TO "NARROW". DO NOT SPREAD TO BROAD CONTEXT OR YOU WILL GET OTHER QUOTES BESIDES MUSIC.

4. Conduct a word frequency query on the "men and music" node you created, and describe the findings - -- how do men talk about jazz music?

5. Open the node "men and music" node you created, and do hand coding so you can describe at least one theme and 2 quotes representing that theme - -- how do men talk about jazz music?

6. Conduct a word frequency query on the "women and music" node you created, and describe the findings  -- how do women talk about jazz music?

7. Open the node "women and music" node you created, and do hand coding so you can describe at least one theme and 2 quotes representing that theme -- -- how do women talk about jazz music?

I used Jazz x gender as an example here, but you can watch the video of me doing it for easy listening x work, and read the example output. From these you should be able to do the same for other genres of music and other demographic characteristics besides gender or work.