Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python

Index

A

Activation function

B

Backward propagation

Bidirectional LSTM

C

Cloud storage

Continuous Bag of Words (CBOW)

Convolutional neural networks (CNN)

data

layers

convolution

flatten

fully connected

pooling

softmax

ReLU

Co-occurrence matrix

function, creation

generate

libraries importing

Cosine similarity

Count vectorizer

D

Data collection

HTML file

JSON file/object

PDF files

Twitter API

Word files

Data sources

Deep learning

CNN ( see Convolutional neural networks (CNN))

components of

IR ( see Information retrieval (IR))

next word prediction

data collection

data preparation

homepage

importing and installing

model building

process the data

random sequence

understanding/defining

recurrent neural networks (RNN)

BPTT

LSTM

text classification

data preparation

email classifier

model building ...