Sentiment Classification with LLMs

Background

This prompt tests an LLM's text classification capabilities by prompting it to classify a piece of text.

Prompt

prompt.txt

Classify the text into neutral, negative, or positive
Text: I think the food was okay.
Sentiment:

Prompt Template

prompt.txt

Classify the text into neutral, negative, or positive
Text: {input}
Sentiment:

Code / API

file.py

from openai import OpenAI
client = OpenAI()
 
response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {
        "role": "user",
        "content": "Classify the text into neutral, negative, or positive\nText: I think the food was okay.\nSentiment:\n"
        }
    ],
    temperature=1,
    max_tokens=256,
    top_p=1,
    frequency_penalty=0,
    presence_penalty=0
)

Reference

Prompt Engineering Guide (opens in a new tab) (16 March 2023)

Classification Few-Shot Sentiment Classification