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rongmux's Projects

atae-lstm icon atae-lstm

realization of paper 《Attention-based LSTM for Aspect-level Sentiment Classification》

c-cnn-for-chinese-sentiment-analysis icon c-cnn-for-chinese-sentiment-analysis

基于字符级卷积神经网络的细粒度的中文情感分析以及具体的应用,将顾客打分和评论情感进行两极映射,使用数据自动标注和基于弱监督预训练的数据增强方式自动扩充和优化数据集,实验证实了在情感分类中,使用本文的字符级卷积神经网络(C-CNN-SA)可以在不依赖分词的情况下,达到的精度和 F 值均高于词级粒度。并将模型上线使用,利用tensoflow+flask restful做出的后端服务化,具体的项目细节和讲解看右面的ppt

chinese-ocr icon chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

deeplizard-pytorch- icon deeplizard-pytorch-

自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)

dmmn-sdcm icon dmmn-sdcm

A Pytorch implementation for "Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification" (IJCAI 2019)

hanlp icon hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

hello-algo icon hello-algo

《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

ltsf-linear icon ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

mem_absa icon mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

music-star icon music-star

a Style Transforming system for Audio-based Rearrangement

natrual-language-processing icon natrual-language-processing

《深度学习进阶-自然语言处理》-【日】斋藤康毅著。个人学习整理简单笔记,欢迎一起学习探讨, 小白一枚,希望寻找小伙伴一起学习指点迷津。本库为个人学习整理,欢迎批评指正。

ocr_tdr icon ocr_tdr

好未来Feature Camp:中文手写汉字识别

pj_nlp icon pj_nlp

该库是一个项目集,包括文本分类、多标签分类、细粒度情感分析、命名实体识别,以及部分数据集等

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