MetaCatMinimally Supervised Categorization of Text with Metadata (SIGIR'20)
Stars: ✭ 52 (-22.39%)
troveWeakly supervised medical named entity classification
Stars: ✭ 55 (-17.91%)
WeSHClass[AAAI 2019] Weakly-Supervised Hierarchical Text Classification
Stars: ✭ 83 (+23.88%)
HiGitClassHiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
Stars: ✭ 58 (-13.43%)
text-classification-svmThe missing SVM-based text classification module implementing HanLP's interface
Stars: ✭ 46 (-31.34%)
CaverCaver: a toolkit for multilabel text classification.
Stars: ✭ 38 (-43.28%)
GAL-fWSDGenerative Adversarial Learning Towards Fast Weakly Supervised Detection
Stars: ✭ 18 (-73.13%)
Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Stars: ✭ 30 (-55.22%)
support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Stars: ✭ 142 (+111.94%)
synaptic-simple-trainerA ready to go text classification trainer based on synaptic (https://github.com/cazala/synaptic)
Stars: ✭ 19 (-71.64%)
TS-CAMCodes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
Stars: ✭ 96 (+43.28%)
TorchBlocksA PyTorch-based toolkit for natural language processing
Stars: ✭ 85 (+26.87%)
augmentyAugmenty is an augmentation library based on spaCy for augmenting texts.
Stars: ✭ 101 (+50.75%)
extremeTextLibrary for fast text representation and extreme classification.
Stars: ✭ 141 (+110.45%)
RIBReducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)
Stars: ✭ 40 (-40.3%)
MetaLifelongLanguageRepository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
Stars: ✭ 21 (-68.66%)
WSDM-Cup-2019[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
Stars: ✭ 62 (-7.46%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (-1.49%)
HiGRUsImplementation of the paper "Hierarchical GRU for Utterance-level Emotion Recognition" in NAACL-2019.
Stars: ✭ 60 (-10.45%)
nlp classificationImplementing nlp papers relevant to classification with PyTorch, gluonnlp
Stars: ✭ 224 (+234.33%)
10kGNADTen Thousand German News Articles Dataset for Topic Classification
Stars: ✭ 63 (-5.97%)
Filipino-Text-BenchmarksOpen-source benchmark datasets and pretrained transformer models in the Filipino language.
Stars: ✭ 22 (-67.16%)
monkeylearn-javaOfficial Java client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Java apps.
Stars: ✭ 23 (-65.67%)
Awesome-Weak-Shot-LearningA curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Stars: ✭ 142 (+111.94%)
ASTRASelf-training with Weak Supervision (NAACL 2021)
Stars: ✭ 127 (+89.55%)
ebe-datasetEvidence-based Explanation Dataset (AACL-IJCNLP 2020)
Stars: ✭ 16 (-76.12%)
NewsMTSCTarget-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.
Stars: ✭ 54 (-19.4%)
kwxBERT, LDA, and TFIDF based keyword extraction in Python
Stars: ✭ 33 (-50.75%)
textgoText preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!
Stars: ✭ 33 (-50.75%)
DaDengAndHisPython【微信公众号:大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱
[email protected] Stars: ✭ 59 (-11.94%)
just-ask[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Stars: ✭ 57 (-14.93%)
Naive-Resume-MatchingText Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.
Stars: ✭ 27 (-59.7%)
policy-data-analyzerBuilding a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
Stars: ✭ 22 (-67.16%)
text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
Stars: ✭ 15 (-77.61%)
nsmc-zeppelin-notebookMovie review dataset Word2Vec & sentiment classification Zeppelin notebook
Stars: ✭ 26 (-61.19%)
Learning-Action-Completeness-from-PointsOfficial Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)
Stars: ✭ 53 (-20.9%)
node-fasttextNodejs binding for fasttext representation and classification.
Stars: ✭ 39 (-41.79%)
small-textActive Learning for Text Classification in Python
Stars: ✭ 241 (+259.7%)
DeepClassifierDeepClassifier is aimed at building general text classification model library.It's easy and user-friendly to build any text classification task.
Stars: ✭ 25 (-62.69%)
monkeylearn-phpOfficial PHP client for the MonkeyLearn API. Build and consume machine learning models for language processing from your PHP apps.
Stars: ✭ 47 (-29.85%)
opentcOpenTC is a text classification engine using several algorithms in machine learning
Stars: ✭ 27 (-59.7%)
fake-news-detectionThis repo is a collection of AWESOME things about fake news detection, including papers, code, etc.
Stars: ✭ 34 (-49.25%)
yunyi2018“云移杯- 景区口碑评价分值预测
Stars: ✭ 29 (-56.72%)
HiLAPCode for paper "Hierarchical Text Classification with Reinforced Label Assignment" EMNLP 2019
Stars: ✭ 116 (+73.13%)
WSCNNTDSaliency[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
Stars: ✭ 19 (-71.64%)
WeFEND-AAAI20Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
Stars: ✭ 67 (+0%)