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absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

absadatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

acl19_scaling_up_open_tagging

ACL19-Scaling Up Open Tagging from Tens to Thousands

alibaba-custermers-interaction-dataset

antifraud

A repository for financial fraud detection

asgcn

Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"

attentionbasedmultimodalrnn

An unofficial Pytorch implementation of Attention based Multi-Modal New Product Sales Time-series Forecasting

attgen

Code for "AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction", ACL 2023

bert_multimodal_transformer

carca

Context and Attribute-Aware Sequential Recommendation via Cross-Attention, RecSys 2022

cave-demo

CAVE is a tool for attribute value correction, enrichment, and normalisation in E-commerce.

coding-interview-university

A complete computer science study plan to become a software engineer.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deephypergraph

A pytorch library for graph and hypergraph computation.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

emotion-flip-reasoning

first-contributions

🚀✨ Help beginners to contribute to open source projects

folkscope

Codes and Datasets for the ACL2023 Findings Paper: FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense

gdcn

The code of GDCN

get

[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"

graphcage

[ICMI'21] [Pytorch] Graph Capsule Aggregation

gtm-transformer

Official Implementation of paper: Well Googled is Half Done: Multimodal Forecasting of New FashionProduct Sales with Image-based Google Trends

hyperpave

instructabsa

Instructional learning for Aspect Based Sentiment Analysis

jave

kolibri

Kolibri Learning Platform: the offline app for universal education

llama

Inference code for LLaMA models

llama.cpp

Port of Facebook's LLaMA model in C/C++

mams-for-absa

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

mave

The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.