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)
Power words are terms that evoke strong emotional responses and significantly influence readers' behavior, playing a crucial role in fields like marketing, politics, and motivational writing. This study proposes a methodology for the automated detection and analysis of power words in persuasive text using a custom lexicon created from a comprehe...