Text preprocessing, representation and visualization from zero to hero.
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Updated
Jul 10, 2020 - Python
Text preprocessing, representation and visualization from zero to hero.
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
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Visualization of the most frequent words in the German 2019 EU election programs.
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integrates spatial and textual data processing tools into a modular software package which features preprocessing, geocoding, disambiguation and visualization
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sample scripts that show use of NLP in python.Some will be proof of concepts while others will be tutorials
A text visualization software was written with d3 plus which is a JavaScript library that extends the popular D3.js to enable fast and beautiful design of different types of chart. D3 plus extends d3 for a more intuitive and direct visual display. This program also combines the power of PHP, HTML, JavaScript and d3plus. With this program, a user can easily discover what the whole text document is all about as it reveals all the co-occurring keywords at a glance.
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Hi there,
I think there might be a mistake in the documentation. The
Understanding Scaled F-Scoresection saysThe F-Score of these two values is defined as:
$$ \mathcal{F}_\beta(\mbox{prec}, \mbox{freq}) = (1 + \beta^2) \frac{\mbox{prec} \cdot \mbox{freq}}{\beta^2 \cdot \mbox{prec} + \mbox{freq}}. $$
$\beta \in \mathcal{R}^+$ is a scaling factor where frequency is favored if $\beta