#Automated Detection and Analysis of Power Words in Persuasive Text Using Natural Language Processing

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golden flax
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https://doi.org/10.48550/arXiv.2409.18033

TLDR:
A custom lexicon in a custom package was used to analyse the relation between power words, named entities, readability and sentiment polarity.
3 types of 5 different written materials (speeches, marketing and fiction) were analysed with it.

Results:
Greed > other power words
readability of marketing was most
texts were mostly readable by just people

This is my first research paper.
Was doing CS50p, for the final project i went with a text analyser. Wanted to do a logical fallacy detection (but that's another research topic) so went with a power word detector (& other stuff)