Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
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Updated
Aug 2, 2024 - Python
Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"
Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
Code for unsupervised aspect extraction, using Keras and its Backends
PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'
An easy-to-use tool for phrase encoding and topic mining (unsupervised aspect extraction); Code base for ACL 2022 paper, UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.
a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis
Graduation project for a bachelor's degree in informatics engineering (Artificial Intelligence specialization).
Tool for Information extraction from Russian texts
NLP pipeline for extracting insights related to venue accessibility in Amsterdam.
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction (AAAI 2019)
The tensorflow version of DE-CNN
MARSA (Multiple-Aspect Rule-Based Sentiment Analyzer) is a lightweight assistant for aspect-sentiment pair extraction.
Korean product review aspect based summarization
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