You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input
Example: ASSISTANT: generally speaking what type of movies do you watch , USER: I like thrillers a lot. , ASSISTANT: thrillers? for example? , USER: Zodiac's one of my favorite movies. , USER: Zodiac the movie about a serial killer from the '60s or '70s, around there. , ASSISTANT: Zodiac? oh wow ok, what do you like about that movie, classify_text: And I just think serial killers, in general, are interesting, so the movie was really good. And it was just neat to see that world. Like it went really in-depth. It was like almost 3 hours long, so you got to really feel like you were a part of that world and time period. And see what the detectives and the police did and the investigators.
Example solution: USER
Example explanation: Based on last conversation in which the ASSISTANT ask's a question for which it waits for a reply from the "USER". We can classify this conversation as "USER" as it needs to respond for the given question.

Problem: ASSISTANT: What kind of movies do you enjoy and why? , USER: I like dramatic movies. , USER: Because they make me like feel like I'm not alone in the world, or the world is just like interesting and fun. Not fun. , ASSISTANT: Is there a particular film you enjoy? , USER: I like Set It Off. , ASSISTANT: What did you like about that kind of film?, classify_text: I thought it was like a cool real life story, and it made be connected to black people, which I am black, so I liked it.
Solution: USER