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crystalxiaoxiao's Projects

-python-gensim-lda- icon -python-gensim-lda-

基于python gensim 库的LDA算法 对中文进行文本分析,很难得,网上都是英文的,基本上没有中文的,需要安装jieba分词进行分词,然后去除停用词最后才能使用LDA

alpha icon alpha

Automated Text Summarization and Topic Detection for Trending News on News Aggregator Website

amc icon amc

Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"

articlepairmatching icon articlepairmatching

The code of ACL 2019 paper: Matching Article Pairs with Graphical Decomposition and Convolutions

bert icon bert

TensorFlow code and pre-trained models for BERT

chinesener icon chinesener

中文命名实体识别,实体抽取,tensorflow,pytorch,BiLSTM+CRF

cmrc2017 icon cmrc2017

The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC2017)

community icon community

A Python implementation of Girvan-Newman algorithm

deepnlp icon deepnlp

Deep Learning NLP Pipeline implemented on Tensorflow

dependecymstparsernlp icon dependecymstparsernlp

In this Python programming exercise, we will implement the MST (Maximum Spanning Tree) parser for unlabeled dependency parsing, using the perceptron(gradient-sescent) learning model.

dm-td icon dm-td

topic detection for data mining

eann-kdd18 icon eann-kdd18

EANN: event-adversarial neural networks for multi-modal fake news detection

edcow icon edcow

Event Detection With CLustering of Wavelet-based Signals (EDCoW) - Based on the paper 'Event Detection in Twitter' by Jianshu Weng, Bu-Sung Lee ICWSM 2011

event_detector icon event_detector

Event Detection and Domain Adaptation with Convolutional Neural Networks

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

gemsec icon gemsec

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

grakel icon grakel

A scikit-learn compatible library for graph kernels

image2text icon image2text

A deep learning project to tell a story with an image or a video.

jiagu icon jiagu

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

keyword_extraction icon keyword_extraction

利用Python实现中文文本关键词抽取,分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

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