Using supervised machine learning to quantify political rhetoric
Several posts on this blog have examined unsupervised methods of natural language processing. These algorithms and models can help…
A behind-the-scenes blog about research methods at Pew Research Center.
For our latest research findings, visit pewresearch.org.
All Decoded publications
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Making sense of topic models
Topic models can produce clusters of words that characterize written documents. But how do we figure out what those clusters mean, exactly?
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An intro to topic models for text analysis
Topic models can scan documents, examine words and phrases within them, and “learn” groups of words that characterize those documents.
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Detecting subjectivity and tone with automated text analysis tools
There are a variety of tools that can help researchers analyze large volumes of written material. In this post, I’ll examine two of these…
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Using APIs to collect website data
At Pew Research Center, we regularly use APIs to collect information for the studies we produce. Web APIs provide a means of communication between websites and users, structured by rules.
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An introduction to the methodological musings, puzzles and tangles that you would see if you could flip those picture-perfect research products over.
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About Decoded
A behind-the-scenes blog about research methods at Pew Research Center.
For our latest research findings, visit pewresearch.org.
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