mpangrazzi/absa_poc_pipeline
A GPT-3-based proof-of-concept Aspect-Based Sentiment Analysis pipeline
This project helps you understand customer opinions about specific product features. You input a list of Amazon product reviews, and it outputs an analysis showing which aspects of a product customers are talking about and whether their sentiment is positive or negative. This is ideal for product managers, market researchers, or business analysts who want to quickly gauge public opinion on specific product attributes.
No commits in the last 6 months.
Use this if you need to perform an initial exploration of customer sentiment on particular aspects of a product from Amazon reviews.
Not ideal if you require a robust, production-ready system for ongoing, large-scale sentiment analysis, as this is a proof-of-concept.
Stars
16
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 09, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/mpangrazzi/absa_poc_pipeline"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
wayfair-incubator/extra-model
Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
KennethEnevoldsen/asent
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy.
songyouwei/ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
chiayewken/Span-ASTE
Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".
jiangqn/Aspect-Based-Sentiment-Analysis
A paper list for aspect based sentiment analysis.