jessssy-yang Goto Github PK

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爬取500个中文文档对比文档相似度并进行聚类

absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

absa-pytorch

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

bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

bert-e2e-absa

Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (W-NUT@EMNLP 2019)

bert-for-rrc-absa

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

bert-utils

一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算

btm

BTM实现代码

btmpy

BTM in python

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese_text_cluster

MachineLearning

cluener2020

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

cn-text-classifier

中文文本聚类

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

data-mining

中文文本分类与聚类

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deeplearning

some small codes about deep learning

domain-adapted-atsc

code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

doubanmovie

抓取豆瓣电影相关信息

examples-of-web-crawlers

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

fnc-extras

Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.

lda2vec

lihang-code

《统计学习方法》的代码实现

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

ltp

Language Technology Platform

lyric-emotional-analysis

course report

nlpir

nltk_data

NLTK Data-1

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.