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Document classification
An Evaluation of Machine Learning Approaches to Natural Language Processing for Legal Text Classification
Fasttext.Zip: Compressing Text Classification Models
Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambiguous Synonyms
Investigating Classification for Natural Language Processing Tasks
Linked Data Triples Enhance Document Relevance Classification
Natural Language Processing Security- and Defense-Related Lessons Learned
Using Wordnet to Disambiguate Word Senses for Text Classification
An Automatic Text Document Classification Using Modified Weight and Semantic Method
Natural Language Information Retrieval Text, Speech and Language Technology
The Impact of NLP Techniques in the Multilabel Text Classification Problem
Word Embeddings for Multi-Label Document Classification
Experiments with One-Class SVM and Word Embeddings for Document Classification
A Novel Approach to Document Classification Using Wordnet
Text Classification Using Word Embedding in Rule-Based Methodologies: a Systematic Mapping
Latent Dirichlet Allocation for Automatic Document Categorization
Utterances Classifier for Chatbots' Intents
Joint Embedding of Words and Labels for Text Classification
A Review of Machine Learning Algorithms for Text-Documents Classification
Top View
Discriminative Topic Modeling with Logistic LDA
Preprocessing: the First Step Towards Text Document Classification - a Review
Feature Extraction Using Latent Dirichlet Allocation and Neural Networks: a Case Study on Movie Synopses
The Impact of NLP Techniques in the Text Multilabel Classification Problem
Semantic Document Classification Using Lexical Chaining & Fuzzy Approach
Latent Dirichlet Allocation
Categorization of Web News Documents Using Word2vec and Deep Learning
Conceptual Representation Using Wordnet for Text Categorization
2016-Textflows.Pdf
Document Classification with Docbert, Et. Al
Unsupervised Predominant Sense Detection and Its Application to Text Classification
Natural Language Processing with Poolparty Version: May 2019
Support Vector Machines and Word2vec for Text Classification with Semantic Features
Improving Out-Of-Scope Detection in Intent Classification by Using
High-Precision Phrase-Based Document Classification on A
Categorizing Research Papers by Topics Using Latent Dirichlet Allocation Model
Bag-Of-Embeddings for Text Classification
Document Classification Company
Analysis and Optimization of Fasttext Linear Text Classifier. Vladimir Zolotov and David Kung IBM T
Using AI to Unleash the Power of Unstructured Government Data
Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri
Word Sense Disambiguation and Classification Algorithms: a Review
Intra News Category Classification Using N-Gram TF- IDF Features and Decision Tree Classifier
Integrating Rich Document Representations for Text Classification
Text Document Classification by Using Wordnet Ontology and Neural Network
Document Text Classification Using Support Vector Machine
Efficiency of SVM Classifier with Word2vec and Doc2vec Models
Impact of Text Classification on Natural Language Processing Applications
Towards the Development of a Classification Model for Technical Documents in Knowledge Discovery Systems
Out-Of-Domain Detection for Low-Resource Text Classification
Semantic Ontology-Based Approach to Enhance Text Classification
A Comparison of Neural Document Classification Models
Wordnet-Based Hybrid VSM for Document Classification
Text Classification Techniques: a Literature Review
Region Embedding Via Local Context Kernel for Text
Long Length Document Classification by Local Convolutional Feature
Categorization and Classification of Text Documents
An Intelligent System for Arabic Text Categorization
Document Classification with Distributions of Word Vectors
Document Classifications Based on Word Semantic Hierarchies
CBER: an Effective Classification Approach Based on Enrichment Representation for Short Text Documents
Latent Dirichlet Allocation
Improving Document Classification with Multi-Sense Embeddings
Classification of Documents Based on Contents Using the N-Gram Method of MNB Model
Linked Document Embedding for Classification
An Empirical Study of Text Classification Using Latent Dirichlet Allocation
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
A Study on Adapting Natural Language Processing for Library Services Delivery V Jeevitha
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A Hybrid Document Features Extraction with Clustering Based Classification Framework on Large Document Sets
The Classification of the Documents Based on Word2vec and 2-Layer Self Organizing Maps
Stemming Text-Based Web Page Classification Using Machine Learning Algorithms: a Comparison
Contextual Language Understanding Thoughts on Machine Learning in Natural Language Processing Benoit Favre
Towards Open Domain Chatbots — a GRU Architecture for Data Driven Conversations
Document Classification with Support Vector Machines
Automatic Categorization of Tagalog Documents Using Support Vector Machines
Text Classification Algorithms: a Survey
Word Sense Disambiguation and EM
Explaining Documents' Classifications
Global-Local Word Embedding for Text Classification
Analysis and Improvement of Document Classification Based on Word2vec and TF-IDF
From Topic Modeling to Scalable Multi-Label Classification
Document Classification Using Machine Learning
Ontology-Driven Conceptual Document Classification
Hierarchical Vs. Flat N-Gram-Based Text Categorization: Can We Do Better?
Fast and Efficient Text Classification with Class-Based Embeddings
Natural Language Processing with Python
Using Naive Bayes and N-Gram for Document Classification
A Comparative Study of Machine Learning Algorithms for Document Classification
Word Sense Discovery and Disambiguation
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval