RandolphVI/Multi-Label-Text-Classification
quality grade D, 41 out of 100About Muti-Label Text Classification Based on Neural Network.
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Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
637 results
About Muti-Label Text Classification Based on Neural Network.
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
Resources for learning about Text Mining and Natural Language Processing
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
NLP in Python with Deep Learning
A Benchmark of Text Classification in PyTorch
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
DoTAT 是一款基于web、面向领域的通用文本标注工具,支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注,同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模,并设计了全新高效的标注方式,提升了用户体验和标注效率。此外,本工具增加了审核环节,可对多人的标注结果进行一致性检验、自动合并和手动调整,提高了标注结果的准确率。
Fake News Detection in Python
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``
TextCNN Pytorch实现 中文文本分类 情感分析
Active Learning for Text Classification in Python
A Modern C++ Data Sciences Toolkit
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)
Implementation of papers for text classification task on DBpedia
Tensorflow implementation of attention mechanism for text classification tasks.
多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification
Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.
Text classification using deep learning models in Pytorch
Collection of papers and resources for data augmentation for NLP.
👑 spaCy building blocks and visualizers for Streamlit apps
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
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