Electra，BiLSTM+中文新闻注意力分类器
Electra, BiLSTM + Attention Classifier for Chinese news (2021-03-10, Python, 19KB, 下载0次)
使用BiLSTM、CRF和基于注意的模型进行命名实体识别，并在印度尼西亚新闻的PyTorch中实现。
Named Entity Recognition with BiLSTM, CRF, and Attention-based models implemented in PyTorch for Indonesian News. (2022-08-04, Python, 298KB, 下载0次)
美国有线电视新闻网，，
DPCNN,, (2021-08-19, Python, 6KB, 下载0次)
DPCNN（美国有线电视新闻网）
DPCNN (2019-09-05, Python, 95153KB, 下载0次)
Chinese news classification based on TextCNN 基于TextCNN的中文新闻分类
Chinese news classification based on TextCNN (2022-05-02, Python, 23KB, 下载0次)
使用Facebook的fastText预测新闻故事的类别
Predict the category of a news story using Facebook s fastText (2023-05-06, CSS, 2844KB, 下载0次)
论文代码和数据：“用于多语言假新闻检测的BERT和fastText嵌入”
Code and data for paper: "BERT and fastText Embeddings for Multilingual Fake News Detection" (2022-02-08, Jupyter Notebook, 6182KB, 下载0次)
基于张量流中fastext的新闻分类
Classification news category using fastext in tensorflow (2018-11-08, Python, 81KB, 下载0次)
为fasttext寻找好的参数来分类20个新闻组数据集
Finding good parameters for fasttext to classify 20 news group data set (2018-04-06, Jupyter Notebook, 3KB, 下载0次)
解决方案新闻数据的快速分析示例
Example of quick analysis on Solutions Journalism Data (2018-05-07, Python, 22529KB, 下载0次)
伯南布哥联邦大学信息中心的研究人员开发的自适应GRASP算法...
Adapted GRASP algorithm developed by researchers from the Informatics Center of the Federal University of Pernambuco - UFPE to optimize Deep Learning architectures for tabular data classification. (2022-10-29, Python, 15795KB, 下载0次)
该项目是作为全球人工智能中心深度学习训练营毕业项目进行的。数据集来自...
This project was carried out as a Global AI Hub Deep Learning Bootcamp graduation project. The dataset was taken from the website <https://urbansounddataset.weebly.com/urbansound8k.html>. This dataset contains 8732 labeled audio excerpts of 10 different classes of sounds, namely air_conditioner, car_horn, children_playing, dog_bark, drill, (2022-10-06, Jupyter Notebook, 349KB, 下载0次)
用Python3编写的android新闻验证应用程序（句子相似度分析+隐马尔可夫模型）
An android news verification app written in Python3 (sentence similarity analysis + hidden markov model) (2017-07-30, TeX, 34808KB, 下载0次)
基于调节词移动距离和批中心词向量的句子间相似性度量
sentence-to-sentence similarity metric with tempered Word Mover Distance and batch centered word vectors (2020-10-19, Python, 28988KB, 下载0次)
新闻标题的零镜头分类-IRTM NTU 2018最终项目
Zero-shot Classification of News Title - Final Project for IRTM NTU 2018 (2019-01-14, Python, 840KB, 下载0次)
使用分类和NLP技术开发了一个用于假新闻检测的机器学习模型。已利用的后勤...
Developed a machine learning model for fake news detection using classification and NLP techniques. Utilized logistic regression and achieved a precision of 98.08% on the test set and 99.29% on the training set. Obtained dataset from Kaggle and preprocessed text data using techniques such as stemming and tokenization. (2023-04-05, Jupyter Notebook, 37939KB, 下载0次)
分类新闻类别，使用标记器和层嵌入
Classification News Category, Using Tokenizer and Layer Embedding (2022-02-16, Jupyter Notebook, 40KB, 下载0次)
在这个项目中，我训练了一个长短期记忆（LSTM）网络，以从给定的新闻语料库中检测假新闻。...
In this project, I have trained a Long Short Term Memory (LSTM) network to detect fake news from a given news corpus. This project could be practically used by media companies to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news-relat... (2020-09-19, Jupyter Notebook, 3458KB, 下载0次)
该项目旨在预测来自ECG信号的心跳是否每0.4秒窗口中心有心律失常...
This project aims at predicting if a heart beat from a ECG signal has an arrhythmia for each 0.4 second window centered on the peak of the heart beat. In this context, different classifiers including Random Forest, Logistic Regression, K Nearest Neighbors, Neural Networks and Decision Tree are used to detect abnormal beats. We use the MIH-BIH (2022-02-03, Jupyter Notebook, 341KB, 下载0次)
利用Logistic回归预测假新闻和真实新闻
Predicting the fake news and real news using Logistic Regression (2021-12-31, Jupyter Notebook, 11KB, 下载0次)