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Visualize text data and models using word clouds and text scatter plots

Text Analytics Toolbox™ provides algorithms and visualizations for preprocessing, analyzing, and modeling text data. Visualize large collections of text data using word frequency counts and LDA models using word clouds. Explore word embeddings using text scatter plots.

Functions

wordcloudCreate word cloud chart from text, bag-of-words model, bag-of-n-grams model, or LDA model
textscatter2-D scatter plot of text
textscatter33-D scatter plot of text
wordCloudCountsCount words for word cloud creation

Properties

TextScatter PropertiesControl text scatter chart appearance and behavior

Topics

Text Visualization

Visualize Text Data Using Word Clouds

This example shows how to visualize text data using word clouds.

Visualize Word Embeddings Using Text Scatter Plots

This example shows how to visualize word embeddings using 2-D and 3-D t-SNE and text scatter plots.

Topic Modeling Visualization

Visualize LDA Topics Using Word Clouds

This example shows how to visualize the words in Latent Dirichlet Allocation (LDA) model topics.

Visualize LDA Topic Probabilities of Documents

This example shows how to visualize the topic probabilities of documents using a latent Dirichlet allocation (LDA) topic model.

Visualize Document Clusters Using LDA Model

This example shows how to visualize the clustering of documents using a Latent Dirichlet Allocation (LDA) topic model and a t-SNE plot.

Visualize LDA Topic Correlations

This example shows how to analyze correlations between topics in a Latent Dirichlet Allocation (LDA) topic model.

Visualize Correlations Between LDA Topics and Document Labels

This example shows how to fit a Latent Dirichlet Allocation (LDA) topic model and visualize correlations between the LDA topics and document labels.

Featured Examples