756 Open source projects that are alternatives of or similar to Meta Learning Bert

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

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中文ULMFiT 情感分析 文本分类

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The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

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Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Your Advanced Twitter stalking tool

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

A comprehensive tool for linguistic analysis of communities

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

Resources for learning about Text Mining and Natural Language Processing

Система, анализирующая тональность текстов и высказываний.

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

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BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

NLP tutorial

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Machine Learning (EE 5184) in NTU

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

Sarcasm Detection for Sentiment Analysis

📓 Long(er) text representation and classification using Doc2Vec embeddings

TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

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Text Classification by Convolutional Neural Network in Keras

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汽车行业用户观点主题及情感识别

Learning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

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Tensorflow implementation of attention mechanism for text classification tasks.

A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud

TextCNN by TensorFlow 2.0.0 ( tf.keras mainly ).

Repository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"

Graph Convolutional Networks for Text Classification. AAAI 2019

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

self-supervised domain adaptation

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

ML that can extract german and english sentiment

Meta-Feature Extractor

Sentiment Analysis with LSTMs in Tensorflow

Graph meta learning via local subgraphs (NeurIPS 2020)

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis