Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER.

Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER.

<p>Examples of positive, negative, and neutral tweets. Each tweet is assigned to only one of the categories based on its sentiment score calculated by VADER.</p>

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Bibliographic Details
Main Author:	Yuqi Zhang (286958) (author)
Other Authors:	Yingning Wang (4576864) (author)
Published:	2025
Subjects:	Biotechnology Cancer Science Policy Mental Health valence aware dictionary representative sentences showed extract representative sentences collected using snscrape associated lung injury gum &# 8221 cannabis &# 8221 discussions significantly increased twitter </ p study examines trends sentiment scores decreased vaping &# 8221 528 smoking cessation smoking cessation discussions sentiment scores &# 8220 discussions related smoking cessation quit smoking xlink "> september 2019 september 1 seentiment reasoner results deepen remaining stable related tweets related keywords qualitative insights public perceptions product use offering insights january 31 entire timespan
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