From c9a54652e1d4ae6a489879523e46ef84f02a8401 Mon Sep 17 00:00:00 2001 From: tomvannuenen Date: Tue, 17 Oct 2023 12:46:42 -0700 Subject: [PATCH] add text analysis --- R.html | 43 +++++++++++++++++++++++++++++++++-- library.html | 64 ++++++++++++++++++++++++++++++++++++++++++++++++++++ python.html | 46 +++++++++++++++++++++++++++++++++++++ 3 files changed, 151 insertions(+), 2 deletions(-) diff --git a/R.html b/R.html index 24af708..fd32650 100644 --- a/R.html +++ b/R.html @@ -224,11 +224,50 @@

R Data Visualization

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"I know the basics of R and data wrangling. I want to learn more advanced topics like Machine Learning."
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R Text Analysis

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Preprocessing, topic modeling, word embeddings and more

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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. + +

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diff --git a/library.html b/library.html index 4dc5151..82b6e93 100644 --- a/library.html +++ b/library.html @@ -426,6 +426,40 @@

Python Machine Learning

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Python Text Analysis
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Python Text Analysis

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Bag-of-words, sentiment analysis, topic modeling, word embeddings, and more

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+ 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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Python Web APIs
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R Machine Learning with tidymodels

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R Text Analysis
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R Text Analysis

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Preprocessing, topic modeling, word embeddings and more

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+ 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. +

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+ diff --git a/python.html b/python.html index 34dd99d..82289fa 100644 --- a/python.html +++ b/python.html @@ -368,6 +368,52 @@

Python Data Visualization

"I know a fair bit about Python and Pandas and want to learn more advanced topics"
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Python Text Analysis

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Bag-of-words, sentiment analysis, topic modeling, word embeddings, and more

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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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