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Title: GitHub - kk7nc/Text_Classification: Text Classification Algorithms: A Survey

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https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/WordArt.png
Text Classification Algorithms: A Surveyhttps://arxiv.org/abs/1904.08067
https://www.mdpi.com/journal/information/awards
https://github.com/kk7nc/Text_Classification#table-of-contents
Introductionhttps://github.com/kk7nc/Text_Classification#introduction
Text and Document Feature Extractionhttps://github.com/kk7nc/Text_Classification#text-and-document-feature-extraction
Text Cleaning and Pre-processinghttps://github.com/kk7nc/Text_Classification#text-cleaning-and-pre-processing
Tokenizationhttps://github.com/kk7nc/Text_Classification#tokenization
Stop wordshttps://github.com/kk7nc/Text_Classification#stop-words
Capitalizationhttps://github.com/kk7nc/Text_Classification#capitalization
Slangs and Abbreviationshttps://github.com/kk7nc/Text_Classification#slangs-and-abbreviations
Noise Removalhttps://github.com/kk7nc/Text_Classification#noise-removal
Spelling Correctionhttps://github.com/kk7nc/Text_Classification#spelling-correction
Stemminghttps://github.com/kk7nc/Text_Classification#stemming
Lemmatizationhttps://github.com/kk7nc/Text_Classification#lemmatization
Word Embeddinghttps://github.com/kk7nc/Text_Classification#word-embedding
Word2Vechttps://github.com/kk7nc/Text_Classification#word2vec
Global Vectors for Word Representation (GloVe)https://github.com/kk7nc/Text_Classification#global-vectors-for-word-representation-glove
Contextualized Word Representationshttps://github.com/kk7nc/Text_Classification#contextualized-word-representations
FastTexthttps://github.com/kk7nc/Text_Classification#fasttext
Weighted Wordshttps://github.com/kk7nc/Text_Classification#weighted-words
Term frequencyhttps://github.com/kk7nc/Text_Classification#term-frequency
Term Frequency-Inverse Document Frequencyhttps://github.com/kk7nc/Text_Classification#term-frequency-inverse-document-frequency
Comparison of Feature Extraction Techniqueshttps://github.com/kk7nc/Text_Classification#comparison-of-feature-extraction-techniques
Dimensionality Reductionhttps://github.com/kk7nc/Text_Classification#dimensionality-reduction
Principal Component Analysis (PCA)https://github.com/kk7nc/Text_Classification#principal-component-analysis-pca
Linear Discriminant Analysis (LDA)https://github.com/kk7nc/Text_Classification#linear-discriminant-analysis-lda
Non-negative Matrix Factorization (NMF)https://github.com/kk7nc/Text_Classification#non-negative-matrix-factorization-nmf
Random Projectionhttps://github.com/kk7nc/Text_Classification#random-projection
Autoencoderhttps://github.com/kk7nc/Text_Classification#autoencoder
T-distributed Stochastic Neighbor Embedding (T-SNE)https://github.com/kk7nc/Text_Classification#t-distributed-stochastic-neighbor-embedding-t-sne
Text Classification Techniqueshttps://github.com/kk7nc/Text_Classification#text-classification-techniques
Rocchio classificationhttps://github.com/kk7nc/Text_Classification#rocchio-classification
Boosting and Bagginghttps://github.com/kk7nc/Text_Classification#boosting-and-bagging
Boostinghttps://github.com/kk7nc/Text_Classification#boosting
Bagginghttps://github.com/kk7nc/Text_Classification#bagging
Naive Bayes Classifierhttps://github.com/kk7nc/Text_Classification#naive-bayes-classifier
K-nearest Neighborhttps://github.com/kk7nc/Text_Classification#k-nearest-neighbor
Support Vector Machine (SVM)https://github.com/kk7nc/Text_Classification#support-vector-machine-svm
Decision Treehttps://github.com/kk7nc/Text_Classification#decision-tree
Random Foresthttps://github.com/kk7nc/Text_Classification#random-forest
Conditional Random Field (CRF)https://github.com/kk7nc/Text_Classification#conditional-random-field-crf
Deep Learninghttps://github.com/kk7nc/Text_Classification#deep-learning
Deep Neural Networkshttps://github.com/kk7nc/Text_Classification#deep-neural-networks
Recurrent Neural Networks (RNN)https://github.com/kk7nc/Text_Classification#recurrent-neural-networks-rnn
Gated Recurrent Unit (GRU)https://github.com/kk7nc/Text_Classification#gated-recurrent-unit-gru
Long Short-Term Memory (LSTM)https://github.com/kk7nc/Text_Classification#long-short-term-memory-lstm
Convolutional Neural Networks (CNN)https://github.com/kk7nc/Text_Classification#convolutional-neural-networks-cnn
Hierarchical Attention Networkshttps://github.com/kk7nc/Text_Classification#hierarchical-attention-networks
Recurrent Convolutional Neural Networks (RCNN)https://github.com/kk7nc/Text_Classification#recurrent-convolutional-neural-networks-rcnn
Random Multimodel Deep Learning (RMDL)https://github.com/kk7nc/Text_Classification#random-multimodel-deep-learning-rmdl
Hierarchical Deep Learning for Text (HDLTex)https://github.com/kk7nc/Text_Classification#hierarchical-deep-learning-for-text-hdltex
Comparison Text Classification Algorithmshttps://github.com/kk7nc/Text_Classification#comparison-text-classification-algorithms
Evaluationhttps://github.com/kk7nc/Text_Classification#evaluation
F1 Scorehttps://github.com/kk7nc/Text_Classification#f1-score
Matthew correlation coefficient (MCC)https://github.com/kk7nc/Text_Classification#matthew-correlation-coefficient-mcc
Receiver operating characteristics (ROC)https://github.com/kk7nc/Text_Classification#receiver-operating-characteristics-roc
Area Under Curve (AUC)https://github.com/kk7nc/Text_Classification#area-under-curve-auc
Text and Document Datasetshttps://github.com/kk7nc/Text_Classification#text-and-document-datasets
IMDBhttps://github.com/kk7nc/Text_Classification#imdb
Reuters-21578https://github.com/kk7nc/Text_Classification#reuters-21578
20Newsgroupshttps://github.com/kk7nc/Text_Classification#newsgroups
Web of Science Datasethttps://github.com/kk7nc/Text_Classification#web-of-science-dataset
Text Classification Applicationshttps://github.com/kk7nc/Text_Classification#text-classification-applications
Information Retrievalhttps://github.com/kk7nc/Text_Classification#information-retrieval
Information Filteringhttps://github.com/kk7nc/Text_Classification#information-filtering
Sentiment Analysishttps://github.com/kk7nc/Text_Classification#sentiment-analysis
Recommender Systemshttps://github.com/kk7nc/Text_Classification#recommender-systems
Knowledge Managementhttps://github.com/kk7nc/Text_Classification#knowledge-management
Document Summarizationhttps://github.com/kk7nc/Text_Classification#document-summarization
Text Classification Supporthttps://github.com/kk7nc/Text_Classification#text-classification-support
Healthhttps://github.com/kk7nc/Text_Classification#health
Social Scienceshttps://github.com/kk7nc/Text_Classification#social-sciences
Business and Marketinghttps://github.com/kk7nc/Text_Classification#business-and-marketing
Lawhttps://github.com/kk7nc/Text_Classification#law
Citations:https://github.com/kk7nc/Text_Classification#citations
Introductionhttps://github.com/kk7nc/Text_Classification#id1
https://github.com/kk7nc/Text_Classification#introduction
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/OverviewTextClassification.png
Text and Document Feature Extractionhttps://github.com/kk7nc/Text_Classification#id2
https://github.com/kk7nc/Text_Classification#text-and-document-feature-extraction
Text Cleaning and Pre-processinghttps://github.com/kk7nc/Text_Classification#id3
https://github.com/kk7nc/Text_Classification#text-cleaning-and-pre-processing
Tokenizationhttps://github.com/kk7nc/Text_Classification#id4
https://github.com/kk7nc/Text_Classification#tokenization
Stop wordshttps://github.com/kk7nc/Text_Classification#id5
https://github.com/kk7nc/Text_Classification#stop-words
geeksforgeekshttps://www.geeksforgeeks.org/removing-stop-words-nltk-python/
Capitalizationhttps://github.com/kk7nc/Text_Classification#id6
https://github.com/kk7nc/Text_Classification#capitalization
Slangs and Abbreviationshttps://github.com/kk7nc/Text_Classification#id7
https://github.com/kk7nc/Text_Classification#slangs-and-abbreviations
Noise Removalhttps://github.com/kk7nc/Text_Classification#id8
https://github.com/kk7nc/Text_Classification#noise-removal
Spelling Correctionhttps://github.com/kk7nc/Text_Classification#id9
https://github.com/kk7nc/Text_Classification#spelling-correction
Stemminghttps://github.com/kk7nc/Text_Classification#id10
https://github.com/kk7nc/Text_Classification#stemming
NLTKhttps://pythonprogramming.net/stemming-nltk-tutorial/
Lemmatizationhttps://github.com/kk7nc/Text_Classification#id11
https://github.com/kk7nc/Text_Classification#lemmatization
Word Embeddinghttps://github.com/kk7nc/Text_Classification#id12
https://github.com/kk7nc/Text_Classification#word-embedding
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/CBOW.png
Word2Vechttps://github.com/kk7nc/Text_Classification#id13
https://github.com/kk7nc/Text_Classification#word2vec
https://code.google.com/p/word2vec/https://code.google.com/p/word2vec/
https://code.google.com/p/word2vec/issues/detail?id=1#c5https://code.google.com/p/word2vec/issues/detail?id=1#c5
https://code.google.com/p/word2vec/issues/detail?id=2https://code.google.com/p/word2vec/issues/detail?id=2
https://code.google.com/p/word2vec/https://code.google.com/p/word2vec/
Global Vectors for Word Representation (GloVe)https://github.com/kk7nc/Text_Classification#id14
https://github.com/kk7nc/Text_Classification#global-vectors-for-word-representation-glove
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/Glove.PNG
project pagehttp://nlp.stanford.edu/projects/glove/
paperhttp://nlp.stanford.edu/pubs/glove.pdf
Contextualized Word Representationshttps://github.com/kk7nc/Text_Classification#id15
https://github.com/kk7nc/Text_Classification#contextualized-word-representations
"Deep contextualized word representations"http://arxiv.org/abs/1802.05365
AllenNLPhttp://allennlp.org/
Tensorflow Hubhttps://www.tensorflow.org/hub/modules/google/elmo/2
herehttps://allennlp.org/elmo
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/ngram_cnn_highway_1.png
arXiv paperhttps://arxiv.org/pdf/1508.06615.pdf
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/Glove_VS_DCWE.png
FastTexthttps://github.com/kk7nc/Text_Classification#id16
https://github.com/kk7nc/Text_Classification#fasttext
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/fasttext-logo-color-web.png
facebookresearch/fastTexthttps://github.com/facebookresearch/fastText
English word vectorshttps://fasttext.cc/docs/en/english-vectors.html
157 languages trained on Wikipedia and Crawlhttps://github.com/facebookresearch/fastText/blob/master/docs/crawl-vectors.md
language identificationhttps://fasttext.cc/docs/en/language-identification.html#content
various supervised taskshttps://fasttext.cc/docs/en/supervised-models.html#content
YFCC100M datahttps://fasttext.cc/docs/en/dataset.html#content
answers to frequently asked questionshttps://fasttext.cc/docs/en/faqs.html#content
websitehttps://fasttext.cc/
cheatsheethttps://fasttext.cc/docs/en/cheatsheet.html#content
Weighted Wordshttps://github.com/kk7nc/Text_Classification#id17
https://github.com/kk7nc/Text_Classification#weighted-words
Term frequencyhttps://github.com/kk7nc/Text_Classification#id18
https://github.com/kk7nc/Text_Classification#term-frequency
Term Frequency-Inverse Document Frequencyhttps://github.com/kk7nc/Text_Classification#id19
https://github.com/kk7nc/Text_Classification#term-frequency-inverse-document-frequency
https://github.com/kk7nc/Text_Classification/blob/master/docs/eq/tf-idf.gif
Comparison of Feature Extraction Techniqueshttps://github.com/kk7nc/Text_Classification#id20
https://github.com/kk7nc/Text_Classification#comparison-of-feature-extraction-techniques
Dimensionality Reductionhttps://github.com/kk7nc/Text_Classification#id21
https://github.com/kk7nc/Text_Classification#dimensionality-reduction
Principal Component Analysis (PCA)https://github.com/kk7nc/Text_Classification#id22
https://github.com/kk7nc/Text_Classification#principal-component-analysis-pca
Linear Discriminant Analysis (LDA)https://github.com/kk7nc/Text_Classification#id23
https://github.com/kk7nc/Text_Classification#linear-discriminant-analysis-lda
Non-negative Matrix Factorization (NMF)https://github.com/kk7nc/Text_Classification#id24
https://github.com/kk7nc/Text_Classification#non-negative-matrix-factorization-nmf
Random Projectionhttps://github.com/kk7nc/Text_Classification#id25
https://github.com/kk7nc/Text_Classification#random-projection
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/Random%20Projection.png
Autoencoderhttps://github.com/kk7nc/Text_Classification#id26
https://github.com/kk7nc/Text_Classification#autoencoder
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/Autoencoder.png
T-distributed Stochastic Neighbor Embedding (T-SNE)https://github.com/kk7nc/Text_Classification#id27
https://github.com/kk7nc/Text_Classification#t-distributed-stochastic-neighbor-embedding-t-sne
G. Hinton and ST. Roweishttps://www.cs.toronto.edu/~fritz/absps/sne.pdf
Examplehttp://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/TSNE.png
Text Classification Techniqueshttps://github.com/kk7nc/Text_Classification#id28
https://github.com/kk7nc/Text_Classification#text-classification-techniques
Rocchio classificationhttps://github.com/kk7nc/Text_Classification#id29
https://github.com/kk7nc/Text_Classification#rocchio-classification
Boosting and Bagginghttps://github.com/kk7nc/Text_Classification#id30
https://github.com/kk7nc/Text_Classification#boosting-and-bagging
Boostinghttps://github.com/kk7nc/Text_Classification#id31
https://github.com/kk7nc/Text_Classification#boosting
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/Boosting.PNG
Michael Kearnshttps://en.wikipedia.org/wiki/Michael_Kearns_(computer_scientist)
Bagginghttps://github.com/kk7nc/Text_Classification#id32
https://github.com/kk7nc/Text_Classification#bagging
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/Bagging.PNG
Naive Bayes Classifierhttps://github.com/kk7nc/Text_Classification#id33
https://github.com/kk7nc/Text_Classification#naive-bayes-classifier
K-nearest Neighborhttps://github.com/kk7nc/Text_Classification#id34
https://github.com/kk7nc/Text_Classification#k-nearest-neighbor
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/KNN.png
Support Vector Machine (SVM)https://github.com/kk7nc/Text_Classification#id35
https://github.com/kk7nc/Text_Classification#support-vector-machine-svm
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/SVM.png
Decision Treehttps://github.com/kk7nc/Text_Classification#id36
https://github.com/kk7nc/Text_Classification#decision-tree
D. Morganhttp://www.aclweb.org/anthology/P95-1037
JR. Quinlanhttps://courses.cs.ut.ee/2009/bayesian-networks/extras/quinlan1986.pdf
De Mantarashttps://link.springer.com/article/10.1023/A:1022694001379
Random Foresthttps://github.com/kk7nc/Text_Classification#id37
https://github.com/kk7nc/Text_Classification#random-forest
T. Kam Hohttps://doi.org/10.1109/ICDAR.1995.598994
L. Breimanhttps://link.springer.com/article/10.1023/A:1010933404324
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/RF.png
Conditional Random Field (CRF)https://github.com/kk7nc/Text_Classification#id38
https://github.com/kk7nc/Text_Classification#conditional-random-field-crf
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/CRF.png
Herehttp://sklearn-crfsuite.readthedocs.io/en/latest/tutorial.html
Deep Learninghttps://github.com/kk7nc/Text_Classification#id39
https://github.com/kk7nc/Text_Classification#deep-learning
Deep Neural Networkshttps://github.com/kk7nc/Text_Classification#id40
https://github.com/kk7nc/Text_Classification#deep-neural-networks
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/DNN.png
Recurrent Neural Networks (RNN)https://github.com/kk7nc/Text_Classification#id41
https://github.com/kk7nc/Text_Classification#recurrent-neural-networks-rnn
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/RNN.png
Gated Recurrent Unit (GRU)https://github.com/kk7nc/Text_Classification#id42
https://github.com/kk7nc/Text_Classification#gated-recurrent-unit-gru
J. Chung et al.https://arxiv.org/abs/1412.3555
K.Cho et al.https://arxiv.org/abs/1406.1078
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/LSTM.png
Long Short-Term Memory (LSTM)https://github.com/kk7nc/Text_Classification#id43
https://github.com/kk7nc/Text_Classification#long-short-term-memory-lstm
S. Hochreiter and J. Schmidhuberhttps://www.mitpressjournals.org/doi/abs/10.1162/neco.1997.9.8.1735
Convolutional Neural Networks (CNN)https://github.com/kk7nc/Text_Classification#id44
https://github.com/kk7nc/Text_Classification#convolutional-neural-networks-cnn
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/CNN.png
Hierarchical Attention Networkshttps://github.com/kk7nc/Text_Classification#id45
https://github.com/kk7nc/Text_Classification#hierarchical-attention-networks
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/HAN.png
Recurrent Convolutional Neural Networks (RCNN)https://github.com/kk7nc/Text_Classification#id46
https://github.com/kk7nc/Text_Classification#recurrent-convolutional-neural-networks-rcnn
Random Multimodel Deep Learning (RMDL)https://github.com/kk7nc/Text_Classification#id47
https://github.com/kk7nc/Text_Classification#random-multimodel-deep-learning-rmdl
RMDL: Random Multimodel Deep Learning for Classificationhttps://www.researchgate.net/publication/324922651_RMDL_Random_Multimodel_Deep_Learning_for_Classification
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/RMDL.jpg
Python packageshttps://www.scaler.com/topics/python/python-packages/
Hierarchical Deep Learning for Text (HDLTex)https://github.com/kk7nc/Text_Classification#id48
https://github.com/kk7nc/Text_Classification#hierarchical-deep-learning-for-text-hdltex
HDLTex: Hierarchical Deep Learning for Text Classificationhttps://arxiv.org/abs/1709.08267
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/HDLTex.png
Comparison Text Classification Algorithmshttps://github.com/kk7nc/Text_Classification#id49
https://github.com/kk7nc/Text_Classification#comparison-text-classification-algorithms
Evaluationhttps://github.com/kk7nc/Text_Classification#id50
https://github.com/kk7nc/Text_Classification#evaluation
F1 Scorehttps://github.com/kk7nc/Text_Classification#id51
https://github.com/kk7nc/Text_Classification#f1-score
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/F1.png
Matthew correlation coefficient (MCC)https://github.com/kk7nc/Text_Classification#id52
https://github.com/kk7nc/Text_Classification#matthew-correlation-coefficient-mcc
Receiver operating characteristics (ROC)https://github.com/kk7nc/Text_Classification#id53
https://github.com/kk7nc/Text_Classification#receiver-operating-characteristics-roc
sourceshttp://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
https://github.com/kk7nc/Text_Classification/blob/master/docs/pic/sphx_glr_plot_roc_001.png
Area Under Curve (AUC)https://github.com/kk7nc/Text_Classification#id54
https://github.com/kk7nc/Text_Classification#area-under-curve-auc
Text and Document Datasetshttps://github.com/kk7nc/Text_Classification#id55
https://github.com/kk7nc/Text_Classification#text-and-document-datasets
IMDBhttps://github.com/kk7nc/Text_Classification#id56
https://github.com/kk7nc/Text_Classification#imdb
IMDB Datasethttp://ai.stanford.edu/~amaas/data/sentiment/
Reuters-21578https://github.com/kk7nc/Text_Classification#id57
https://github.com/kk7nc/Text_Classification#reuters-21578
Reters-21578 Datasethttps://keras.io/datasets/
20Newsgroupshttps://github.com/kk7nc/Text_Classification#id58
https://github.com/kk7nc/Text_Classification#20newsgroups
20Newsgroups Datasethttps://archive.ics.uci.edu/ml/datasets/Twenty+Newsgroups
Web of Science Datasethttps://github.com/kk7nc/Text_Classification#id59
https://github.com/kk7nc/Text_Classification#web-of-science-dataset
WOS-11967http://dx.doi.org/10.17632/9rw3vkcfy4.2
WOS-46985http://dx.doi.org/10.17632/9rw3vkcfy4.2
WOS-5736http://dx.doi.org/10.17632/9rw3vkcfy4.2
Text Classification Applicationshttps://github.com/kk7nc/Text_Classification#id60
https://github.com/kk7nc/Text_Classification#text-classification-applications
Information Retrievalhttps://github.com/kk7nc/Text_Classification#id61
https://github.com/kk7nc/Text_Classification#information-retrieval
Introduction to information retrievalhttp://eprints.bimcoordinator.co.uk/35/
Web forum retrieval and text analytics: A surveyhttp://www.nowpublishers.com/article/Details/INR-062
Automatic Text Classification in Information retrieval: A Surveyhttps://dl.acm.org/citation.cfm?id=2905191
Information Filteringhttps://github.com/kk7nc/Text_Classification#id62
https://github.com/kk7nc/Text_Classification#information-filtering
Search engines: Information retrieval in practicehttp://library.mpib-berlin.mpg.de/toc/z2009_2465.pdf/
Implementation of the SMART information retrieval systemhttps://ecommons.cornell.edu/bitstream/handle/1813/6526/85-686.pdf?sequence=1
Sentiment Analysishttps://github.com/kk7nc/Text_Classification#id63
https://github.com/kk7nc/Text_Classification#sentiment-analysis
Opinion mining and sentiment analysishttp://www.nowpublishers.com/article/Details/INR-011
A survey of opinion mining and sentiment analysishttps://link.springer.com/chapter/10.1007/978-1-4614-3223-4_13
Thumbs up?: sentiment classification using machine learning techniqueshttps://dl.acm.org/citation.cfm?id=1118704
Recommender Systemshttps://github.com/kk7nc/Text_Classification#id64
https://github.com/kk7nc/Text_Classification#recommender-systems
Content-based recommender systemshttps://link.springer.com/chapter/10.1007/978-3-319-29659-3_4
Content-based recommendation systemshttps://link.springer.com/chapter/10.1007/978-3-540-72079-9_10
Knowledge Managementhttps://github.com/kk7nc/Text_Classification#id65
https://github.com/kk7nc/Text_Classification#knowledge-management
Text mining: concepts, applications, tools and issues-an overviewhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.403.2426&rep=rep1&type=pdf
Analysis of Railway Accidents' Narratives Using Deep Learninghttps://ieeexplore.ieee.org/abstract/document/8614260/
Document Summarizationhttps://github.com/kk7nc/Text_Classification#id66
https://github.com/kk7nc/Text_Classification#document-summarization
Advances in automatic text summarizationhttps://books.google.com/books?hl=en&lr=&id=YtUZQaKDmzEC&oi=fnd&pg=PA215&dq=Advances+in+automatic+text+summarization&ots=ZpvCsrG-dC&sig=8ecTDTrQR4mMzDnKvI58sowh3Fg
Improving Multi-Document Summarization via Text Classification.https://www.aaai.org/ocs/index.php/AAAI/AAAI17/paper/viewPaper/14525
Text Classification Supporthttps://github.com/kk7nc/Text_Classification#id67
https://github.com/kk7nc/Text_Classification#text-classification-support
Healthhttps://github.com/kk7nc/Text_Classification#id68
https://github.com/kk7nc/Text_Classification#health
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Recordhttps://ieeexplore.ieee.org/abstract/document/8490816/
Combining Bayesian text classification and shrinkage to automate healthcare coding: A data quality analysishttps://dl.acm.org/citation.cfm?id=2063506
Ahttp://b/
MeSH Up: effective MeSH text classification for improved document retrievalhttps://academic.oup.com/bioinformatics/article-abstract/25/11/1412/333120
Social Scienceshttps://github.com/kk7nc/Text_Classification#id69
https://github.com/kk7nc/Text_Classification#social-sciences
Identification of imminent suicide risk among young adults using text messageshttps://dl.acm.org/citation.cfm?id=3173987
Textual Emotion Classification: An Interoperability Study on Cross-Genre Data Setshttps://link.springer.com/chapter/10.1007/978-3-319-63004-5_21
Social Monitoring for Public Healthhttps://www.morganclaypool.com/doi/abs/10.2200/S00791ED1V01Y201707ICR060
Business and Marketinghttps://github.com/kk7nc/Text_Classification#id70
https://github.com/kk7nc/Text_Classification#business-and-marketing
Opinion mining using ensemble text hidden Markov models for text classificationhttps://www.sciencedirect.com/science/article/pii/S0957417417304979
Classifying business marketing messages on Facebookhttps://www.researchgate.net/profile/Bei_Yu2/publication/236246670_Classifying_Business_Marketing_Messages_on_Facebook/links/56bcb34408ae6cc737c6335b.pdf
Lawhttps://github.com/kk7nc/Text_Classification#id71
https://github.com/kk7nc/Text_Classification#law
Represent yourself in court: How to prepare & try a winning casehttps://books.google.com/books?hl=en&lr=&id=-lodDQAAQBAJ&oi=fnd&pg=PP1&dq=Represent+yourself+in+court:+How+to+prepare+%5C%26+try+a+winning+case&ots=tgJ8Q2MkH_&sig=9o3ILDn3LfO30BZKsyI2Ou7Q8Qs
Text retrieval in the legal worldhttps://link.springer.com/article/10.1007/BF00877694
Citations:https://github.com/kk7nc/Text_Classification#id72
https://github.com/kk7nc/Text_Classification#citations
deep-learning https://github.com/topics/deep-learning
random-forest https://github.com/topics/random-forest
text-classification https://github.com/topics/text-classification
recurrent-neural-networks https://github.com/topics/recurrent-neural-networks
naive-bayes-classifier https://github.com/topics/naive-bayes-classifier
dimensionality-reduction https://github.com/topics/dimensionality-reduction
logistic-regression https://github.com/topics/logistic-regression
document-classification https://github.com/topics/document-classification
convolutional-neural-networks https://github.com/topics/convolutional-neural-networks
text-processing https://github.com/topics/text-processing
decision-trees https://github.com/topics/decision-trees
boosting-algorithms https://github.com/topics/boosting-algorithms
support-vector-machines https://github.com/topics/support-vector-machines
hierarchical-attention-networks https://github.com/topics/hierarchical-attention-networks
nlp-machine-learning https://github.com/topics/nlp-machine-learning
conditional-random-fields https://github.com/topics/conditional-random-fields
k-nearest-neighbours https://github.com/topics/k-nearest-neighbours
deep-belief-network https://github.com/topics/deep-belief-network
rocchio-algorithm https://github.com/topics/rocchio-algorithm
deep-neural-network https://github.com/topics/deep-neural-network
Readme https://github.com/kk7nc/Text_Classification#readme-ov-file
MIT license https://github.com/kk7nc/Text_Classification#MIT-1-ov-file
Code of conduct https://github.com/kk7nc/Text_Classification#coc-ov-file
Contributing https://github.com/kk7nc/Text_Classification#contributing-ov-file
Please reload this pagehttps://github.com/kk7nc/Text_Classification
Activityhttps://github.com/kk7nc/Text_Classification/activity
1.8k starshttps://github.com/kk7nc/Text_Classification/stargazers
69 watchinghttps://github.com/kk7nc/Text_Classification/watchers
542 forkshttps://github.com/kk7nc/Text_Classification/forks
Report repository https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fkk7nc%2FText_Classification&report=kk7nc+%28user%29
Releaseshttps://github.com/kk7nc/Text_Classification/releases
Packages 0https://github.com/users/kk7nc/packages?repo_name=Text_Classification
Contributors 9https://github.com/kk7nc/Text_Classification/graphs/contributors
https://github.com/kk7nc
https://github.com/rednafi
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https://github.com/djoldman
https://github.com/cclauss
https://github.com/aliakbar09a
https://github.com/KamyKowsari
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Python 100.0% https://github.com/kk7nc/Text_Classification/search?l=python
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Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
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