sxu-fyj

Some-deep-model-for-text-classification

This project is a simple conclusion of some deep model for document classification. As for these model implementations, i mainly referred brightmart (https://github.com/brightmart). I studyed them and coded them by myself. So here i have a conclusion to have review one day.

ABAM

ABSA-PyTorch

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

Al_challenger_2018_sentiment_analysis

AI Challenger 2018 细粒度用户评论情感分析，排名17th，基于Aspect Level 思路的解决方案

AnswerStance

Argument-Unit-Recognition-and-Classification

Aspect-Based-Sentiment-Analysis

A paper list for aspect based sentiment analysis.

aspect_sentiment_classification

AURC

Accompanying repository of our AAAI-20 paper "Fine-Grained Argument Unit Recognition and Classification."

AwesomeStanceLearning

The page lists recent research developments in the area of Stance Learning.

BDCI_Car_2018

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

CCF-BDCI-Automotive-Field-ASC-2018

CCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案

Covolution_over_Dependency_Tree_EMNLP2019

Here is the code for the paper ``Aspect-Level Sentiment Analysis via Convolution over Dependency Tree'' accepted by EMNLP2019.

deeping-flow

Deep-learning by using TensorFlow. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

Dense_BiLSTM

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

DRNN

the implementation for Disconnected Recurrent Neural Networks

ECPE

ELMoForManyLangs

Pre-trained ELMo Representations for Many Languages

EXAM-MXNet

An unofficial MXNet implementation of the AAAI-19 paper "Explicit Interaction Model towards Text Classification"

MAMS-for-ABSA

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

NCRFpp

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

NLP-Objective-Subjective

RNN and CNN models for classifying texts related to movies as either objective or subjective. Dataset consists of IMDB movie summaries and user reviews.

NLPer-Arsenal

收录NLP相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

procon20

Dataset associated with the "Stance Prediction for Contemporary Issues: Data and Experiments" SocialNLP@ACL2020 paper

Recurrent_Interaction_Network_EMNLP2020

Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.

stance

Subjective-and-Objective-Sentence-Classification-Using-Word-Vectors-and-NLP

Two parts : 1. Build three Natural Language Processing (NLP) models: baseline, Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN) to predict a 2-class dataset using Pytorch torchtext library and pre-trained word vectors 2. Create a command-line interface to test "subjectivity" of a sentence

toxic

Toxic Comment Classification Challenge, 12th place solution https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

wenzheng

Deep learning related projects using tf(eager), pytorch(fastai,allenlp) for contests like aichallenger, kaggle