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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