OpenAI sentiment analysis

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When it comes to sentiment analysis, you can call OpenAI’s LLM from the API as follows and classify the results into positive, neutral, and negative categories.

This classification may not always be accurate.
If you feel the results are not accurate, you can fine-tune the model to get the desired outcomes.

from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
  model="gpt-3.5-turbo",
  messages=[
    {
      "role": "system",
      "content": "You will be provided with a tweet, and your task is to classify its sentiment as positive, neutral, or negative."
    },
    {
      "role": "user",
      "content": "I loved the new Batman movie!"
    }
  ],
  temperature=0.7,
  max_tokens=64,
  top_p=1
)

This only demonstrates the basic techniques that can be applied to actual social media platforms such as Twitter. Please note that building an appropriate system to collect social media data, call APIs, and perform sentiment analysis is a separate project that needs to be undertaken.

I hope this information will be of some help to you!

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