tomhosking/hercules
Hercules: Attributable and Scalable Opinion Summarization (ACL 2023)
This tool helps consolidate many customer reviews or feedback snippets into clear, concise summaries. It takes in a large collection of text reviews and outputs a short, easy-to-read summary that highlights key opinions and allows you to trace back to the original review sentences. This is ideal for product managers, market researchers, or anyone analyzing customer sentiment from large text datasets.
No commits in the last 6 months.
Use this if you need to quickly understand the main opinions from hundreds of customer reviews or other feedback without losing sight of where those opinions originated.
Not ideal if you're looking for general text summarization that isn't focused on aggregating opinions or if your dataset is not in English.
Stars
20
Forks
4
Language
Python
License
MIT
Category
Last pushed
Nov 08, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/tomhosking/hercules"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sildar/potara
Multi-document summarization tool relying on ILP and sentence fusion
hyunwoongko/summarizers
Package for controllable summarization
uoneway/Text-Summarization-Repo
텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.
Huffon/factsumm
FactSumm: Factual Consistency Scorer for Abstractive Summarization
yuhaozhang/summarize-radiology-findings
Code and pretrained model for paper "Learning to Summarize Radiology Findings"