Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Index

A, B

Backpropagation through time (BPTT)

Bag-of-words (BoW) model

advantages

CountVectorizer

definition

disadvantages

feature extraction algorithm

machine learning algorithm

movie reviews ( see IMDB movie review data set)

scikit-learn library

spam detection

accuracy and AUC scores

CountVectorizer()

data set

fit() method

inbox

load_spam_data()

logistic regression

np.random.seed() function

ridge regression

ROC curve

SMS message length histogram

text_classifiction_demo.py file

unwanted advertisements/malicious files

TFIDF

Bidirectional RNNs (BRNNs)

C

Continuous bag-of-words (CBoW) model

D, E, F

Deep learning

applications

language modeling tasks

NLP techniques and document classification

RNNs

topic modeling

word embeddings

Keras

models

TensorFlow

Theano

G, H

Global Vectors for Word ...