How to use ELMo embeddings in Keras with Tensorflow Hub

BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.

tensorflow implementation

use ELMo in chinese environment

An open-source NLP research library, built on PyTorch.

Tensorflow implementation of contextualized word representations from bi-directional language models

Using pre trained word embeddings (Fasttext, Word2Vec)

This is a drop-in Keras layer for ELMo embeddings.

Deep contextualized word representations for Chinese

DCIC消费者人群画像-信用智能评分Baseline

Code for Fine-grained Sentiment Analysis of User Reviews of AI Challenger 2018

AI Challenger 2018 Sentiment Analysis Baseline with fastText

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.

基于 SVM 的细粒度情感分析

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

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

大众点评评论文本挖掘，包括点评数据爬取、数据清洗入库、数据分析、评论情感分析等的完整挖掘项目

Multi-level tagger

汽车行业用户观点主题及情感识别

100+ Chinese Word Vectors 上百种预训练中文词向量

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

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

CRF-RNN Keras/Tensorflow version

Implementing different neural architectures for ABSA. [IN PROGRESS]

TensorFlow code and pre-trained models for BERT

CNN-RNN中文文本分类，基于TensorFlow

A TensorFlow implementation for "Interactive Attention Networks for Aspect-Level Sentiment Classification"

细粒度情感分析repository1：Wai Mai Opinion Miner，细粒度情感分析系统GUI demo。