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add text analysis
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@tomvannuenen
tomvannuenen committed Oct 17, 2023
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43 changes: 41 additions & 2 deletions R.html
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Expand Up @@ -224,11 +224,50 @@ <h4 class="card-title">R Data Visualization</h4>
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<blockquote class="display-5 clickable">"I know the basics of R and data wrangling. I want to learn more advanced topics like Machine Learning."</blockquote>


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<h4 class="card-title">R Text Analysis</h4>
<p class="lead">Preprocessing, topic modeling, word embeddings and more</p>
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<div class="d-flex justify-content-center flex-column col-md-6">
<p class="card-text">
<p>In this workshop, we'll focus fundamental approaches to applying computational and data visualization methods to text in R. We'll cover a "tidy data" approach to natural language processing, which incorporates tidyverse data transformations,tidytext, tidymodels and a host of other text related packages.

</p>
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<a
class="btn btn-primary"
tabindex="0"
href="https://github.com/dlab-berkeley/R-text-analysis">
<i class="fab fa-github"></i> Github
</a>

<a
class="btn btn-primary"
tabindex="0"
href="http://dlab.datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2Fr-text-analysis&urlpath=rstudio%2F">
<i class="fas fa-database"></i> Datahub
</a>
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64 changes: 64 additions & 0 deletions library.html
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Expand Up @@ -426,6 +426,40 @@ <h4 class="card-title">Python Machine Learning</h4>
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<blockquote class="display-5 clickable">Python Text Analysis</blockquote>
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<div class="row card-body">
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<h4 class="card-title">Python Text Analysis</h4>
<p class="lead">Bag-of-words, sentiment analysis, topic modeling, word embeddings, and more</p>
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<div class="d-flex justify-content-center flex-column col-md-6">
<p class="card-text">
This workshop is part of a loosely-coupled 4-part text analysis workshop series that will prepare participants to move forward with research that uses text analysis, with a special focus on social science applications. We explore fundamental approaches to applying computational methods to text in Python. We cover some of the major packages used in natural language processing, including scikit-learn, NLTK, spaCy, and Gensim.
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<a class="btn btn-primary" tabindex="0" href="https://github.com/dlab-berkeley/python-text-analysis">
<i class="fab fa-github"></i> Github
</a>
<a class="btn btn-primary" tabindex="0" href="https://dlab.datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2FPython-Text-Analysis&urlpath=lab%2Ftree%2FPython-Text-Analysis%2F&branch=main">
<i class="fas fa-database"></i> Datahub
</a>
<a class="btn btn-primary" tabindex="0" href="https://mybinder.org/v2/gh/dlab-berkeley/Python-Text-Analysis/HEAD">
<i class="fas fa-book"></i> Binder
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<blockquote class="display-5 clickable">Python Web APIs</blockquote>
Expand Down Expand Up @@ -738,6 +772,36 @@ <h4 class="card-title">R Machine Learning with tidymodels</h4>
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<!-- BLOCK -->
<blockquote class="display-5 clickable">R Text Analysis</blockquote>
<!-- Featured Module Block -->
<div class="card border-info content">
<div class="row card-body">
<!-- Title Column -->
<div class="d-flex justify-content-center flex-column col-md-3">
<h4 class="card-title">R Text Analysis</h4>
<p class="lead">Preprocessing, topic modeling, word embeddings and more</p>
</div>
<!-- Paragraph Column -->
<div class="d-flex justify-content-center flex-column col-md-6">
<p class="card-text">
In this workshop, we'll focus fundamental approaches to applying computational and data visualization methods to text in R. We'll cover a "tidy data" approach to natural language processing, which incorporates tidyverse data transformations,tidytext, tidymodels and a host of other text related packages.
</p>
</div>
<!-- Link Column -->
<div class="d-flex justify-content-center pb-4 flex-column col-md-3">
<div class="btn-group-vertical my-3">
<a class="btn btn-primary" tabindex="0" href="https://github.com/dlab-berkeley/R-text-analysis">
<i class="fab fa-github"></i> Github
</a>
<a class="btn btn-primary" tabindex="0" href="http://dlab.datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2Fr-text-analysis&urlpath=rstudio%2F">
<i class="fas fa-database"></i> Datahub
</a>
</div>
</div>
</div>
</div>



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46 changes: 46 additions & 0 deletions python.html
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Expand Up @@ -368,6 +368,52 @@ <h4 class="card-title">Python Data Visualization</h4>
<!-- LEVEL -->
<blockquote class="display-5 clickable">"I know a fair bit about Python and Pandas and want to learn more advanced topics"</blockquote>


<!-- Featured Module Block -->
<div class="card border-info content toggle-content">
<div class="row card-body">
<!-- Title Column -->
<div class="d-flex justify-content-center flex-column col-md-3">
<h4 class="card-title">Python Text Analysis</h4>
<p class="lead">Bag-of-words, sentiment analysis, topic modeling, word embeddings, and more</p>
</div>
<!-- Paragraph Column -->
<div class="d-flex justify-content-center flex-column col-md-6">
<p class="card-text">
<p>This workshop is part of a loosely-coupled 4-part text analysis workshop series that will prepare participants to move forward with research that uses text analysis, with a special focus on social science applications. We explore fundamental approaches to applying computational methods to text in Python. We cover some of the major packages used in natural language processing, including scikit-learn, NLTK, spaCy, and Gensim.
</p>
</div>

<!-- Link Column -->
<div class="d-flex justify-content-center pb-4 flex-column col-md-3">
<div class="btn-group-vertical my-3">

<a
class="btn btn-primary"
tabindex="0"
href="https://github.com/dlab-berkeley/python-text-analysis">
<i class="fab fa-github"></i> Github
</a>

<a
class="btn btn-primary"
tabindex="0"
href="https://dlab.datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fdlab-berkeley%2FPython-Text-Analysis&urlpath=lab%2Ftree%2FPython-Text-Analysis%2F&branch=main">
<i class="fas fa-database"></i> Datahub
</a>

<a
class="btn btn-primary"
tabindex="0"
href="https://mybinder.org/v2/gh/dlab-berkeley/Python-Text-Analysis/HEAD">
<i class="fas fa-book"></i> Binder
</a>
</div>
</div>
</div>
</div>


<!-- Featured Module Block -->
<div class="card border-info content toggle-content">
<div class="row card-body">
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