Popular GitHub Repositories for Yelp

A Deep Graph-based Toolbox for Fraud Detection

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

Code for GenAug: Data Augmentation for Finetuning Text Generators.

[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

[EMNLP2019] Rethinking Attribute Representation and Injection for Sentiment Classification

[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising

MLOps Lab Example using PyTorch to predict Yelp Reviews

A PyTorch implementation of the DRR framework (deep reinforcement learning, DDPG, PER, PMF) as it applies to restaurant recommendation.

writing style transfer using cycle gan

[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning

Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.

This project uses BERT(Bidirectional Encoder Representations from Transformers) for Yelp-5 fine-grained sentiment analysis. It also explores various custom loss functions for regression based approaches of fine-grained sentiment analysis.

A RNN based Sequence to Sequence autoenconder for yelp reviews (sentences).