gdorsi44/sentiment-analysis-with-LLM
The project demonstrates an example of how to use a supervised learning task using GPT-3.5 with JSON export, evaluating reviews in different languages
This tool helps businesses quickly understand customer sentiment from written reviews, initially focusing on Italian. You input customer feedback in text format, and it outputs a structured JSON report indicating the sentiment (positive, negative, neutral). This is useful for product managers, customer service managers, or marketing analysts who need to gauge public opinion about their offerings.
No commits in the last 6 months.
Use this if you need to systematically analyze customer reviews in Italian to understand prevailing sentiment about your products or services.
Not ideal if you need to analyze sentiment from very long documents, highly specialized technical texts, or in languages other than Italian.
Stars
17
Forks
—
Language
Python
License
—
Category
Last pushed
Dec 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/prompt-engineering/gdorsi44/sentiment-analysis-with-LLM"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ShiZhengyan/PowerfulPromptFT
[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining?...
OpenDriveLab/DriveLM
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
MILVLG/prophet
Implementation of CVPR 2023 paper "Prompting Large Language Models with Answer Heuristics for...
deepankar27/Prompt_Organizer
Managed Prompt Engineering
mala-lab/NegPrompt
The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for...