Sentence examples for differences in sentiment between from inspiring English sources

Likewise, a recent Twitter analysis of the patient experience with braces vs Invisalign revealed more positive tweets about orthodontic treatment without significant differences in sentiment between braces and Invisalign tweets [13].

A post hoc simple linear regression was conducted to examine if the difference in sentiment between e-cigarettes and other topics could be predicted by closeness centrality.

To test this, we conducted a simple linear regression analysis to examine if the difference in sentiment between e-cigarette topics and all other topics could be predicted by closeness centrality.

These differences in sentiment scores between treatments were statistically significant (P<0.001).

Our results indicate that there are observable differences in sentiment leanings towards various environmental issues between the major communities.

We will investigate various spreading models and study the differences in sentiment spreading at such multilayer (retweet and mention) networks.

This is accomplished by first analyzing each word to find its individual contribution to the difference in sentiment scores between two texts.

But the gap in sentiment between leaders and ordinary people is extraordinary.

These five countries have very little difference in sentiment when comparing e-cigarette and all other topics; in fact, Switzerland and Canada actually have slightly more positive sentiment scores for e-cigarette topics.

The top of table 4 consists of a list of the top five countries with the largest differences in their discussion sentiment between e-cigarette topics and all other topics.

First, we present the general differences identified in sentiments and emotions of the two populations.