alexeyev/abae-pytorch
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
This tool helps you understand what specific features or topics customers care about most from their product reviews or feedback. You provide raw text data, like customer reviews, and it extracts the key aspects or themes discussed. This is ideal for product managers, market researchers, or business analysts who want to distill actionable insights from large volumes of unstructured text.
No commits in the last 6 months.
Use this if you need to automatically identify the main aspects or features being discussed in customer reviews or survey responses without having to manually read through everything.
Not ideal if you need a polished, ready-to-use application with advanced visualizations or if you need to perform complex sentiment analysis alongside aspect extraction.
Stars
66
Forks
13
Language
Python
License
MIT
Category
Last pushed
Dec 09, 2021
Commits (30d)
0
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