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43 search results found

Spark Nlp ⭐ 3,578

State of the Art Natural Language Processing

Keras Textclassification ⭐ 1,641

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，FastTex RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Instructor Embedding ⭐ 1,630

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Eda_nlp ⭐ 1,405

Data augmentation for NLP, presented at EMNLP 2019

Wikipedia2vec ⭐ 899

A tool for learning vector representations of words and entities from Wikipedia

Nlp In Practice ⭐ 861

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Multi Class Text Classification Cnn Rnn ⭐ 554

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Nlp_pytorch_project ⭐ 517

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Multi Class Text Classification Cnn ⭐ 388

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

a Deep Learning Framework for Text

Textfooler ⭐ 376

A Model for Natural Language Attack on Text Classification and Inference

Document Classifier Lstm ⭐ 167

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Fine Grained Sentiment ⭐ 126

A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.

Fastrtext ⭐ 97

R wrapper for fastText

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

Few Shot Text Classification ⭐ 78

Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop

Nlpcloud Python ⭐ 63

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...

Pytorch_bert_elmo_example ⭐ 62

A text classification example with Bert/ELMo/GloVe in pytorch

Text Classification Keras ⭐ 50

📚 Text Classification Library with Keras

Nlpcloud Js ⭐ 40

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification ⭐ 38

Pytorch Starspace ⭐ 37

PyTorch implementation of StarSpace as described in "StarSpace: Embed All The Things!" by Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes and Jason Weston

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCN 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Latti

Text_and_audio_classification_with_bert ⭐ 37

Text Classification in Turkish Texts with Bert

Implementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.

Text Classification Cn ⭐ 33

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Automatic Personality Prediction ⭐ 33

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Nlp Experiments In Pytorch ⭐ 31

PyTorch repository for text categorization and NER experiments in Turkish and English.

Nlp Intuition And Applications Of Word Embeddings ⭐ 31

UPCOMING TUTORIAL on Word Representations and how they are important for NLP applications.

Ml You Can Use ⭐ 24

Practical ML and NLP with examples.

PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

Nlpcloud Php ⭐ 20

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Siamese Text Similarity ⭐ 13

Tensorflow based implementation of deep siamese LSTM network for sentence classification using character embeddings

Short Text Classification ⭐ 12

A command line tool for training deep network models for short text classification

Text_classification_from_zero_to_hero ⭐ 12

Toxic_comments ⭐ 11

CNN and LSTM multi-label text classification

Text Representation ⭐ 10

Text representation works, such as : paper, code, review, datasets, blogs, thesis and so on.

Glove Text Cnn ⭐ 9

A text classification model with pretrained GloVe embeddings

Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)

Multimodal Cnns ⭐ 7

Implementation of the ACM-BCB 2016 paper Text Classification with Topic-based Word Embedding and Convolutional Neural Networks

Nlpcloud Ruby ⭐ 7

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...

Bcn Cnn Text Classification ⭐ 6

Text classification experiments using TextCNNs and Bi-attentive Classification Networks

fsText : Few Shot Text Classification

Sentiment Classification Of Amazon Fine Food Reviews ⭐ 6

A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset.

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

Magnet Multi Label Text Classi Cation Using Attention Based Graph Neural Network ⭐ 6

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

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