Sciweavers

Share
AIME
2015
Springer

An Analysis of Twitter Data on E-cigarette Sentiments and Promotion

4 years 1 months ago
An Analysis of Twitter Data on E-cigarette Sentiments and Promotion
Abstract. We investigate general sentiments and information dissemination concerning electronic cigarettes or e-cigs using Twitter. E-cigs are relatively new products, and hence, not much research has been conducted in this area using large-scale social media data. However, the fact that e-cigs contain potentially dangerous substances makes them an interesting subject to study. In this paper, we propose novel features for e-cigs sentiment classification and create sentiment dictionaries relevant to e-cigs. We combine the proposed features with traditional features (i.e., bag-of-words and SentiStrength features) and use them in conjunction with supervised machine learning classifiers. The feature combination proves to be more effective than the traditional features for e-cigs sentiment classification. We also found that Twitter users are mainly concerned with sharing information (33%) and promoting e-cigs (22%). Although a low percentage of users share opinions, the majority of thes...
Andreea Kamiana Godea, Cornelia Caragea, Florin Ad
Added 15 Apr 2016
Updated 15 Apr 2016
Type Journal
Year 2015
Where AIME
Authors Andreea Kamiana Godea, Cornelia Caragea, Florin Adrian Bulgarov, Suhasini Ramisetty-Mikler
Comments (0)
books