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32 search results found
Pytorch Sentiment Analysis
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4,133
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Nlp_paper_study
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3,373
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
Spago
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1,691
Self-contained Machine Learning and Natural Language Processing library in Go
Getting Things Done With Pytorch
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873
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Glyce
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387
Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations
Deep Time Series Prediction
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287
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Deep Learning For Hackers
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196
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Bert Ch Ner
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149
基于BERT的中文命名实体识别
Daguan_2019_rank9
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85
达观信息提取比赛第九名代码
Dialogue Understanding
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82
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Bert Squeeze
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77
🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
Bias Monitor
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71
A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
Keras_bert_classification
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47
Bert-classification and bert-dssm implementation with keras.
Nlp_notebooks
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46
Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
Dl_notebooks
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42
This repo contains all the notebooks mentioned in blog.
Opentextclassification
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41
OpenTextClassification is all you need for text classification! Open text classification for everyone, enjoy your NLP journey! 这可能是目前为止最全面的开源文本分类项目,支持中英双语、多种模型、多种任务。
Macadam
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37
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
Semeval2019task3
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34
Code for ANA at SemEval-2019 Task 3
Sentiment_analysis_imdb
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28
Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.
Sentimentanalysis
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21
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Mixup Text
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20
Exploring mixup strategies for text classification
Siamese Nn Semantic Text Similarity
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19
A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.
Knowledge Graph Nlp In Action
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19
从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
Long Texts Sentiment Analysis Roberta
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16
PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.
Pythorch Text Classification
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11
对豆瓣影评进行文本分类情感分析,利用爬虫豆瓣爬取评论,进行数据清洗,分词,采用BERT、CNN、LS project for text classification, based on torch 1.7.1
Semeval2022 Task6 Sarcasm Detection
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11
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.
Malay Fake News Classification
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10
Malay Fake News Classification using CNN, BiLSTM, C-LSTM, RCNN, FT-BERT and BERTCNN.
Bert Attribute Value Extract
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7
A Pytorch implementation of "Scaling Up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title" (ACL 2019).
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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6
Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te
Chinner
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6
Chinese NER Models
Ensemble Roberta Fasttext Vietnamese
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6
Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.
Bert_imdb
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5
A repo for NLP model Bert.
Sentiment_embeddings
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5
A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets
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