Detailed Instructions: 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
See one example below:
Problem: 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.
Solution: USER
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 sort of movies do you like? , USER: I like comedies sort of like 40-Year-Old Virgin or Dirty Grandpa. I was really into Baywatch a lot I really liked that movie even though nobody really liked it that much. , ASSISTANT: What did you like about it? , USER: was funny. It was entertaining. It wasn't supposed to be a super serious movie, but at the same time, I enjoyed it. I think that's what the whole point of movies are, is just enjoying it. , ASSISTANT: who's your favorite actor or actress? , USER: That's kind of hard. I really like Denzel Washington a lot. He's good an actor. He knows how to, classify_text: get to people's emotions that are watching his movies without
Solution:
USER