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Analyze Your Data
Analyze Your Data
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23 articles in this collection
Written by
Christine Auld
and
Steven Auslander
Neural Topic Model (NTM)
Perform a neural topic analysis on your unstructured textual data.
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Written by
Steven Auslander
Updated over a week ago
Train a Model on a Subset of Data
When creating a model, you can add a filter to restrict the data that is used for training the model.
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Written by
Christine Auld
Updated over a week ago
Retrain a Model
When new data is added to a stream, the new data is automatically analyzed using all of the models that are attached to the stream.
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Written by
Christine Auld
Updated over a week ago
Pre-trained Models: Sentiment Predictive Model (Neural Network)
Perform a neural sentiment analysis on your unstructured textual data.
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Written by
Christine Auld
Updated over a week ago
Advanced Features: Customize Stopwords Lists
Create custom stopword lists to filter out noise in your data
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Written by
Christine Auld
Updated over a week ago
Advanced Features: Customize sentiment dictionaries
Learn how to create a custom sentiment score dictionary
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Written by
Christine Auld
Updated over a week ago
Analyzing Data: Overview
This article covers how to interpret the data generated by our analytics engine and how to interact with your data.
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Written by
Christine Auld
Updated over a week ago
Unsupervised NLU Model for Analyzing Data
The Unsupervised NLU model is designed to automatically analyze large textual datasets and discover topics and themes.
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Written by
Christine Auld
Updated over a week ago
Geo Tag Analysis
Geo maps let you identify clusters of spatial data so you can visualize behavior patterns that might otherwise go unnoticed.
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Written by
Christine Auld
Updated over a week ago
N-Gram Generator
The N-Gram Generator is what provides the raw n-gram data for the Unsupervised NLU model.
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Written by
Christine Auld
Updated over a week ago
Schedule Data Crawls
Learn to schedule recurring data crawls within your data stream.
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Written by
Christine Auld
Updated over a week ago
Stratifyd AI Models
Learn about Stratifyd's AI Models and how they work.
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Written by
Christine Auld
Updated over a week ago
Sentiment Analysis
You can use sentiment analysis to determine positive, negative, or neutral attitudes expressed by users.
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Written by
Christine Auld
Updated over a week ago
Custom Supervised Models
Supervised Models Overview
Models within this category apply machine learning to your data. Except for AutoLearn, each has a different algorithm.
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Written by
Christine Auld
Updated over a week ago
Creating Supervised Models from a Dashboard
Follow these steps to create any of the supervised models within your dashboard.
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Written by
Christine Auld
Updated over a week ago
Creating Supervised Models from the Models Page
Follow these steps to create any of the supervised models from the Models page.
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Written by
Christine Auld
Updated over a week ago
AutoLearn Model
AutoLearn builds custom machine learning models based on your data and chooses the most suitable ensemble of models based on the F1 score.
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Written by
Christine Auld
Updated over a week ago
Feedforward Neural Network Model
The Feedforward Neural Network returns a non-linear decision function. This works well when you have large dataset.
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Written by
Christine Auld
Updated over a week ago
Logistic Regression Model
Learn about Logistic Regress, which is a supervised model.
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Written by
Christine Auld
Updated over a week ago
Support Vector Machine Model
Learn about the Support Vector Machine, which is a supervised model.
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Written by
Christine Auld
Updated over a week ago
Embedding Attentive Model
Learn about the Label-Embedding Attentive Model, which is a supervised model.
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Written by
Christine Auld
Updated over a week ago
Random Forest Model
Learn about the Random Forest Model, which is a supervised model.
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Written by
Christine Auld
Updated over a week ago
ZSL Model
Models within this category apply machine learning to your data. Except for AutoLearn, each has a different algorithm.
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Written by
Christine Auld
Updated over a week ago