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汉语自然语言处理视频教程-开源学习资料
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis
Humor Detection for Yelp Reviews
Novel model and dataset for the task of humor detection
情感分析Recurrent Neural Networks based text analysis and multi-class classification model
最全面的前端工程师学习资料大全
Humor Detection with different Data Augmentation Strategy
Humor Detection and Generation with Deep Learning using PyTorch For the ColBERT Dataset
Humor Detection App with Streamlit and fastText-Give Me my Application ideas
Leveraging Word Sense Ambiguity for Humor Detection
BERT, LSTM, Naive-Bayes is used for Humor level detection.
Humor Detection Model - Senior Research Project at Clarabridge
Multiple humor detection models with feature extraction using Numba.
chinese Humor Detection or Computation based on corpus and nlp methods, 基于语料库与NLP方法的中文幽默计算与评定
CNN+Pretraind-Embedding+BiLSTM Neural network models for detection/rating humor.
Humor detection, humor generation For Russian
The PyTorch code for paper "Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations"
Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations
情感分析How to build a multi-label sentiment classifiers with Tez and PyTorch
Implementation of our SIGIR 2017 paper : "Multitask Learning for Fine-Grained Twitter Sentiment Analysis"
Code and datasets for the paper "Humor Detection: A Transformer Gets the Last Laugh"
Multi-task learning of rumor detection and stance detection. Using Pytorch for the multi-task RNN model and FastText for word embedding.
待改进实验-SemEval 2021 Task 7
Sentence Classification Model Implemented with PyTorch
情感极性分析repository1:基于情感词典、k-NN、Bayes、最大熵、SVM的情感极性分析。
幽默识别语料库-正样本-负样本-单句笑话-This corpus contains code and datasets that can be used for the automatic detection of humor in oneliners
自然语言处理项目,目标是对文本进行分类。
文本分类资源汇总,包括深度学习文本分类模型,如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等,浅层学习模型,如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集,如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD,评价指标,如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K,和技术挑战,包括多标签文本分类。
This repository presents UR-FUNNY dataset: first dataset for multimodal humor detection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.