historical word embeddings & lexical semantic change

Some methods for detecting & visualizing semantic change.

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Some perspectives on Xochitl Torres Small's win in CD NM-02

A congressional election success story, and an introduction to <nmelectiondatr>, an R data package that makes available New Mexico general election returns from 2014 to 2018.

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Twitter, political ideology & the 115th US Senate

Estimating political ideologies of US Senators via the news media they share on Twitter.

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Political ideology & New Mexico's 53rd State Legislature

A demonstration of the NOMINATE/VoteView procedure using roll call data from NMSL53.

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New Mexico's 53rd State Legislature

A demo of the data package <nmlegisdatr>, which makes available data about New Mexico state legislative activities, including bill summaries, roll calls, & legislator details.

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psychological and geographical distance in text

An investigation into the relationship between psychological distance and geographical distance in text.

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building historical socio-demographic profiles

A simple workflow for building census-based, historical socio-demographic profiles

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place from text: geography & distributional semantics

Some different methodologies for exploring the geographical information found in text.

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topic models for synchronic & diachronic corpus exploration

A simple workflow from annotated corpus to topic model, with a focus on the exploratory utility of topic models.

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a simple framework for corpus-based keyphrase extraction

A simple framework for identifying and extracting keyphrases from component texts of a corpus.

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corpus query and grammatical constructions

A demonstration of the use of a simple collection of functions from my R-package `corpuslingr`.

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a census-based approach to spanish language maintenance

An investigation into Spanish language maintenance within Hispanic communities in the US utilizing data from the US Census.

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Building a historical, genre-based corpus Building a Naive Bayes classifier Model assessment & confusion matrix Summary In this short post, we outline a Naive Bayes (NB) approach to genre-based text classification. First, we introduce & describe a corpus derived from Google News’ RSS feed, which includes source and genre information. We then train, test & evaluate the efficacy of an NB classifier applied to online news genres, with some fairly nice results.

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