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Pew Research Center: Decoded
The “how” behind the numbers, facts and trends shaping your world.
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Machine Learning
Patrick van Kessel
in
Pew Research Center: Decoded
Sep 24, 2021
Are topic models reliable or useful?
The final post in our series examines how topic models can and…
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81
Patrick van Kessel
in
Pew Research Center: Decoded
Sep 24, 2021
How keyword oversampling can help with text analysis
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5
Patrick van Kessel
in
Pew Research Center: Decoded
Aug 1, 2019
Interpreting and validating topic models
Interpreting topics from a model can be more difficult than…
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92
1 response
Patrick van Kessel
in
Pew Research Center: Decoded
Apr 10, 2019
Overcoming the limitations of topic models with a semi-supervised approach
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633
3 responses
Onyi Lam
in
Pew Research Center: Decoded
Jan 30, 2019
How social scientists can use transfer learning to kick-start a deep learning project
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66
Adam G. Hughes
in
Pew Research Center: Decoded
Aug 28, 2018
Using supervised machine learning to quantify political rhetoric
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68
Patrick van Kessel
in
Pew Research Center: Decoded
Aug 13, 2018
Making sense of topic models
Topic models can produce clusters of words that characterize written…
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251
3 responses
Patrick van Kessel
in
Pew Research Center: Decoded
Aug 13, 2018
An intro to topic models for text analysis
Topic models can scan documents, examine words and phrases…
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303
2 responses
Onyi Lam
in
Pew Research Center: Decoded
Jul 26, 2018
Detecting subjectivity and tone with automated text analysis tools
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134
2 responses