Methods: I calculated the enrichment for each word in each speaker’s vocabulary as the log of the ratio between the frequency of that word in Tuesday’s debate for each candidate and the frequency of that word across debates from 1960-2012 (excluding elections with Trump as a candidate).
Word clouds for each candidate were generated from this enrichment score. I plotted the number of times each candidate used a selection of those enriched words.
Rude_Effective_6394 on
This is such a unique way of grasping what each candidate stands for.
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While Trump did use the word “I” 43% more than Harris, he used the word “they” 23 times as much.
Tools: Python, Seaborn, Matplotlib, Spacy
Data: [ABC’s debate transcript from September 10, 2024](https://abcnews.go.com/Politics/harris-trump-presidential-debate-transcript/story?id=113560542), [US Presidential Debate Transcripts 1960-2020 [Kaggle]](https://www.kaggle.com/datasets/arenagrenade/us-presidential-debate-transcripts-19602020)
Methods: I calculated the enrichment for each word in each speaker’s vocabulary as the log of the ratio between the frequency of that word in Tuesday’s debate for each candidate and the frequency of that word across debates from 1960-2012 (excluding elections with Trump as a candidate).
Word clouds for each candidate were generated from this enrichment score. I plotted the number of times each candidate used a selection of those enriched words.
This is such a unique way of grasping what each candidate stands for.