Part 1. Definition
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
Part 2. 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.
Answer: 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.
Part 3. Exercise
ASSISTANT: What type of movies do you like? , USER: I love action movies, I absolutely love action movies. , ASSISTANT: what do you like about action movies? , USER: Like for instance for the action, you know? I love the action, I love the lines. Lines are always big charismatic lines. They're always super super fun, they can use if you like if you've seen any of the Transformers movies, those lines are lit. , ASSISTANT: do you like superhero movies? , USER: Oh yeah. Yeah, spot on, dude. Spot on. I just loved The Ant-Man on Amazon. I love that movie. Who would have thought an Amazon-produced movie could have been good, right? Well as it turns out, they got us, cuz that's a really good movie., classify_text: what did u like about it?
Answer:
ASSISTANT