Natural Language Processing using Python Glossary

A

• Active Learning in Natural Language Processing using Python
• Active Learning Query Strategies in Natural Language Processing using Python
• Adaboost in Natural Language Processing using Python
• Adversarial Attacks in Natural Language Processing using Python
• Anaphora Resolution in Natural Language Processing using Python
• Attention Mechanism in Natural Language Processing using Python
• Attention-based Encoder-Decoder Models in Natural Language Processing using Python
• Average Perceptron in Natural Language Processing using Python

B

• Bag of Words (BoW) in Natural Language Processing using Python
• Bayesian Networks in Natural Language Processing using Python
• BERT (Bidirectional Encoder Representations from Transformers) in Natural Language Processing using Python
• Bigram in Natural Language Processing using Python
• Bilingual Evaluation Understudy (BLEU) in Natural Language Processing using Python
• Binary Classification in Natural Language Processing using Python
• Bootstrapping in Natural Language Processing using Python
• Byte Pair Encoding (BPE) in Natural Language Processing using Python

C

• Character Embeddings in Natural Language Processing using Python
• Chunk in Natural Language Processing using Python
• Chunking in Natural Language Processing using Python
• Classification in Natural Language Processing using Python
• Clustering in Natural Language Processing using Python
• Collaborative Filtering in Natural Language Processing using Python
• Conditional Probability in Natural Language Processing using Python
• Conditional Random Field (CRF) in Natural Language Processing using Python
• Convolutional Neural Networks (CNN) in Natural Language Processing using Python
• Convolutional Sequence to Sequence Learning in Natural Language Processing using Python
• Coreference Resolution in Natural Language Processing using Python
• Cosine Similarity in Natural Language Processing using Python
• Count Vectorizer in Natural Language Processing using Python
• Cross-lingual Transfer Learning in Natural Language Processing using Python
• Cross-Validation in Natural Language Processing using Python

D

• Data Cleaning in Natural Language Processing using Python
• Deep Learning in Natural Language Processing using Python
• Deep Reinforcement Learning in Natural Language Processing using Python
• Dependency Grammar in Natural Language Processing using Python
• Dependency Parsing in Natural Language Processing using Python
• Dimensionality Reduction in Natural Language Processing using Python
• Distributional Semantics in Natural Language Processing using Python
• Document Classification in Natural Language Processing using Python
• Document Clustering in Natural Language Processing using Python
• Document Retrieval in Natural Language Processing using Python
• Document Similarity in Natural Language Processing using Python
• Dynamic Memory Networks (DMN) in Natural Language Processing using Python

E

• Early Stopping in Natural Language Processing using Python
• Edge N-gram in Natural Language Processing using Python
• Embedding in Natural Language Processing using Python
• Ensembling in Natural Language Processing using Python
• Entity Linking in Natural Language Processing using Python
• Entity Parsing in Natural Language Processing using Python
• Entity Recognition in Natural Language Processing using Python
• Error Analysis in Natural Language Processing using Python

F

• FastText in Natural Language Processing using Python
• Feature Engineering in Natural Language Processing using Python
• Fine-tuning in Natural Language Processing using Python
• Flexible String Matching in Natural Language Processing using Python
• Frequency / Density Features in Natural Language Processing using Python

G

• Gensim in Natural Language Processing using Python
• GloVe in Natural Language Processing using Python
• Gradient Boosting Machines (GBM) in Natural Language Processing using Python

H

• Hidden Markov Model (HMM) in Natural Language Processing using Python
• Hierarchical Attention Networks in Natural Language Processing using Python
• Hierarchical Clustering in Natural Language Processing using Python
• Hugging Face in Natural Language Processing using Python
• Hyperparameter Tuning in Natural Language Processing using Python

I

• Information Extraction (IE) in Natural Language Processing using Python
• Information Retrieval in Natural Language Processing using Python

J

• Jupyter Notebook in Natural Language Processing using Python

K

• K-Means Clustering in Natural Language Processing using Python
• K-Nearest Neighbor (KNN) in Natural Language Processing using Python
• Keras in Natural Language Processing using Python

L

• Language Generation in Natural Language Processing using Python
• Language Modeling in Natural Language Processing using Python
• Latent Dirichlet Allocation (LDA) in Natural Language Processing using Python
• Latent Semantic Analysis (LSA) in Natural Language Processing using Python
• Learning to Rank in Natural Language Processing using Python
• Lemmatization in Natural Language Processing using Python
• Levenshtein Distance in Natural Language Processing using Python
• Lexical Normalization in Natural Language Processing using Python
• Lexicon in Natural Language Processing using Python
• Lexicon Normalization in Natural Language Processing using Python
• Linear Regression in Natural Language Processing using Python
• Long Short-Term Memory (LSTM) in Natural Language Processing using Python

M

• Machine Translation in Natural Language Processing using Python
• Markov Chain in Natural Language Processing using Python
• Markov Chain Monte Carlo (MCMC) in Natural Language Processing using Python
• Maximum Entropy in Natural Language Processing using Python
• Maximum Likelihood Estimation (MLE) in Natural Language Processing using Python
• Multi-Label Classification in Natural Language Processing using Python
• Multi-Modal Learning in Natural Language Processing using Python
• Multi-Task Learning in Natural Language Processing using Python
• Multiclass Classification in Natural Language Processing using Python

N

• N-Grams in Natural Language Processing using Python
• Naive Bayes in Natural Language Processing using Python
• Named Entity Disambiguation in Natural Language Processing using Python
• Named Entity Recognition (NER) in Natural Language Processing using Python
• Named Entity Recognition in Natural Language Processing using Python
• Natural Language Toolkit (NLTK) in Natural Language Processing using Python
• Natural Language Understanding (NLU) in Natural Language Processing using Python
• Neural Architecture Search (NAS) in Natural Language Processing using Python
• Neural Machine Translation (NMT) in Natural Language Processing using Python
• Neural Machine Translation with Attention in Natural Language Processing using Python
• Noise Removal in Natural Language Processing using Python
• Non-Negative Matrix Factorization (NMF) in Natural Language Processing using Python
• Normalization in Natural Language Processing using Python

O

• Object Standardization in Natural Language Processing using Python
• One-Hot Encoding in Natural Language Processing using Python
• Online Learning in Natural Language Processing using Python
• OpenNLP in Natural Language Processing using Python
• Orthogonalization in Natural Language Processing using Python
• Overfitting in Natural Language Processing using Python

P

• Packed Padded Sequences in Natural Language Processing using Python
• Paraphrase Generation in Natural Language Processing using Python
• Part of Speech Tagging in Natural Language Processing using Python
• Part-of-Speech (POS) Tagging in Natural Language Processing using Python
• Perceptron in Natural Language Processing using Python
• Phonetic Matching in Natural Language Processing using Python
• Phrase Detection in Natural Language Processing using Python
• Phrase-Based Machine Translation in Natural Language Processing using Python
• Pipeline in Natural Language Processing using Python
• Porter Stemmer in Natural Language Processing using Python
• Preprocessing in Natural Language Processing using Python
• Principal Component Analysis (PCA) in Natural Language Processing using Python
• Probabilistic Topic Modeling in Natural Language Processing using Python

R

• Random Forest in Natural Language Processing using Python
• Readability Features in Natural Language Processing using Python
• Recurrent Highway Networks in Natural Language Processing using Python
• Recurrent Neural Networks (RNN) in Natural Language Processing using Python
• Regular Expression (Regex) in Natural Language Processing using Python
• Regularization in Natural Language Processing using Python
• Reinforcement Learning in Natural Language Processing using Python
• Relation Extraction in Natural Language Processing using Python
• Resampling in Natural Language Processing using Python
• Residual Networks in Natural Language Processing using Python

S

• Sentiment Analysis in Natural Language Processing using Python
• Sequence Labeling in Natural Language Processing using Python
• Siamese Networks in Natural Language Processing using Python
• Singular Value Decomposition (SVD) in Natural Language Processing using Python
• Spacy in Natural Language Processing using Python
• State-of-the-Art (SOTA) in Natural Language Processing using Python
• Statistical features in Natural Language Processing using Python
• Stemming in Natural Language Processing using Python
• Stochastic Gradient Descent (SGD) in Natural Language Processing using Python
• Stop Words in Natural Language Processing using Python
• Style Transfer in Natural Language Processing using Python
• Supervised Learning in Natural Language Processing using Python
• Support Vector Machines (SVM) in Natural Language Processing using Python
• Syntactical Parsing in Natural Language Processing using Python

T

• Term Frequency-Inverse Document Frequency (TF-IDF) in Natural Language Processing using Python
• Text Classification in Natural Language Processing using Python
• Text Matching in Natural Language Processing using Python
• Text Mining in Natural Language Processing using Python
• Text Preprocessing in Natural Language Processing using Python
• TF – IDF in Natural Language Processing using Python
• Tokenization in Natural Language Processing using Python
• Topic Modeling in Natural Language Processing using Python
• Topic Modelling in Natural Language Processing using Python
• Transfer Learning in Natural Language Processing using Python

U

• Unsupervised Feature Learning in Natural Language Processing using Python
• Unsupervised Learning in Natural Language Processing using Python

V

• Variational Autoencoders (VAE). in Natural Language Processing using Python
• Vector Space Model (VSM) in Natural Language Processing using Python

W

• Word Cloud in Natural Language Processing using Python
• Word Embedding in Natural Language Processing using Python
• Word Embeddings in Natural Language Processing using Python
• Word Frequency in Natural Language Processing using Python
• Word2Vec in Natural Language Processing using Python
• Word2Vec Optimization. in Natural Language Processing using Python
• WordNet in Natural Language Processing using Python

X

• XGBoost in Natural Language Processing using Python
• XML Parsing in Natural Language Processing using Python

Z

• Zero-shot Learning in Natural Language Processing using Python