对SpringFramework5.2.0源码做了一个细致的注释（几乎包含了所有重要类），以及一些必要的功能测试案例，帮助大家快速理解Spring IOC和AOP底层的实现细节。

自研框架实现spring控制反转和依赖注入功能，可供学习使用

Code for our WWW'22 paper: "AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations"

💻 🇨🇳Roadmap to becoming a Internet software developer，互联网开发者学习路线图与资源推荐，成为一名研发工程师求职所需要的最少技能中文版，包括Java、C++、Golang、前端、Python等学习大纲、路线以及资源推荐。

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

汇总各大互联网公司容易考察的高频leetcode题🔥

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

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

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

Aspect based sentiment analysis is the determination of sentiment orientation of different important aspects of any textual review or post.

Transformation Networks for Target-Oriented Sentiment Classification (ACL 2018)

📆 准备秋招学习笔记