City Transit Rider Tweets: Understanding Sentiments and Politeness
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A2YD9FXQ7" target="_blank" >RIV/00216208:11320/23:2YD9FXQ7 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105202993&doi=10.1080%2f10630732.2021.1903288&partnerID=40&md5=24c2047fe7caf387c42659723074ae96" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105202993&doi=10.1080%2f10630732.2021.1903288&partnerID=40&md5=24c2047fe7caf387c42659723074ae96</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/10630732.2021.1903288" target="_blank" >10.1080/10630732.2021.1903288</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
City Transit Rider Tweets: Understanding Sentiments and Politeness
Popis výsledku v původním jazyce
"With the expanding popularity of Web 2.0, there has been a huge surge in the use of social media, like Twitter, to express user sentiments or opinions. Delays and breakdowns in transit operations can make riders annoyed and irritated, and as a result, they express their anger and frustration via social media posts. Understanding the tipping points of public frustration will help in developing better solutions. This study aims to develop a framework by developing multilevel sentiment analysis and determine the emotion and politeness measures using transit-related tweets from New York (New York City) and California (San Francisco). The popular hashtags associated with the transit systems of New York and California were collected during 2019. The words associated with negative sentiments widely differ in these two states. Moderate levels of differences are seen in the politeness measures for these two states. Additionally, co-occurrence measures associated with negative emotions identified unique issues based on the demographics. This study demonstrates that Twitter provides a great opportunity to understand the public perception of transit, and the findings can help authorities design a more efficient transit system to improve user experience. © 2021 The Society of Urban Technology."
Název v anglickém jazyce
City Transit Rider Tweets: Understanding Sentiments and Politeness
Popis výsledku anglicky
"With the expanding popularity of Web 2.0, there has been a huge surge in the use of social media, like Twitter, to express user sentiments or opinions. Delays and breakdowns in transit operations can make riders annoyed and irritated, and as a result, they express their anger and frustration via social media posts. Understanding the tipping points of public frustration will help in developing better solutions. This study aims to develop a framework by developing multilevel sentiment analysis and determine the emotion and politeness measures using transit-related tweets from New York (New York City) and California (San Francisco). The popular hashtags associated with the transit systems of New York and California were collected during 2019. The words associated with negative sentiments widely differ in these two states. Moderate levels of differences are seen in the politeness measures for these two states. Additionally, co-occurrence measures associated with negative emotions identified unique issues based on the demographics. This study demonstrates that Twitter provides a great opportunity to understand the public perception of transit, and the findings can help authorities design a more efficient transit system to improve user experience. © 2021 The Society of Urban Technology."
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
"Journal of Urban Technology"
ISSN
1063-0732
e-ISSN
—
Svazek periodika
30
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
16
Strana od-do
111-126
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85105202993