MATLAB. Text Analytics Toolbox. User's Guide

Text Data Preparation Extract Text Data from Files Prepare Text Data for Analysis Parse HTML and Extract Text Content Correct Spelling in Documents Create Extension Dictionary for Spelling Correction Create Custom Spelling Correction Function Using Edit Distance Searchers Data Sets for Text Analytics Modeling and Prediction Create Simple Text Model for Classification Analyze Text Data Using Multiword Phrases Analyze Text Data Using Topic Models Choose Number of Topics for LDA Model Compare LDA Solvers Visualize LDA Topics Using Word Clouds Visualize LDA Topic Probabilities of Documents Visualize Document Clusters Using LDA Model Visualize LDA Topic Correlations Visualize Correlations Between LDA Topics and Document Labels Create Co-occurrence Network Analyze Text Data Containing Emojis Analyze Sentiment in Text Generate Domain Specific Sentiment Lexicon Train a Sentiment Classifier Extract Keywords from Text Data Using RAKE Extract Keywords from Text Data Using TextRank Classify Text Data Using Deep Learning Classify Text Data Using Convolutional Neural Network Classify Text Data Using Custom Training Loop Multilabel Text Classification Using Deep Learning Sequence-to-Sequence Translation Using Attention Language Translation Using Deep Learning Classify Out-of-Memory Text Data Using Deep Learning Pride and Prejudice and MATLAB Word-By-Word Text Generation Using Deep Learning Generate Text Using Autoencoders Define Text Encoder Model Function Define Text Decoder Model Function Classify Out-of-Memory Text Data Using Custom Mini-Batch Datastore Display and Presentation Visualize Text Data Using Word Clouds Visualize Word Embeddings Using Text Scatter Plots Language Support Language Considerations Language-Independent Features Japanese Language Support Tokenization Part of Speech Details Named Entity Recognition Stop Words Lemmatization Language-Independent Features Analyze Japanese Text Data German Language Support Tokenization Sentence Detection Part of Speech Details Named Entity Recognition Stop Words Stemming Language-Independent Features Analyze German Text Data Korean Language Support Tokenization Part of Speech Details Named Entity Recognition Stop Words Lemmatization Language-Independent Features Language-Independent Features Word and N-Gram Counting Modeling and Prediction Glossary Text Analytics Glossary Documents and Tokens Preprocessing Modeling and Prediction Visualization