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✈️Update: 5 New Ways to Visualize Your Analysis Results

The same data can reveal different patterns depending on which chart you use.
This update brings NetMiner's total chart options to 11.

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26.06.12

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Update: Regression doesn't cover - now available with SHAP

Regression analysis estimates the average, linear relationship between variables.

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26.05.15

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Update: Chinese text analysis is now available

Get started with Chinese text analysis.

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26.05.06

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Update: When Your Network Is Too Complex to Read

Struggling with a 'hairball' network?
Now you can extract the statistically significant connections.

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26.04.23

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Update: Want data from a specific YouTube channel?

Previously, you could collect YouTube videos and comments by searching with keywords.
With this update, you can now also collect videos uploaded to a specific YouTube channel.

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26.04.20

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Update: U.S. = USA? AI recommends synonyms

With User Dictionary Recommendations,
you can organize synonyms, proper nouns and compound nouns, and stopwords more quickly.
(using AI, distance-based methods, TF-IDF)

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26.04.09

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Update: Context-Aware Sentiment Analysis (based BERT)

With BERT based sentiment analysis, you can capture hidden reactions more clearly and quickly by considering contextual meaning.

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26.03.27

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Update: Discover Better Text Analysis and Enhanced Network Visualization

New community detection, better visualization

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26.03.16

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Update: Explain Why Networks Form with ERGM

Exponential Random Graph Models (ERGM) test these questions statistically.
ERGM no longer requires complex R coding.

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26.02.12

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Update: ✈️Statistics from Networks, for Networks

Network measures are inherently dependent and often distributionally biased.
Verify whether your network results are statistically meaningful.

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26.01.26

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Update: Enhance Your Network Analysis with Statistical Insight

This update strengthens features that allow statistical testing
tailored to node level and network level data.

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25.12.16

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Update:✈️Track how topics emerge, evolve, and fade

Explore how public discourse evolves and
Gain insight into the patterns and factors behind network structure.

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25.11.24