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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/92650

    Title: 基於社群媒體使用者之硬體設備差異分析文本情緒強烈程度;Analyzing the Intensity of Textual Emotions Based on Hardware Device Differences Among Social Media Users
    Authors: 劉文傑;Liu, Wen-Chieh
    Contributors: 資訊管理學系
    Keywords: 情感分析;情感強度;手機用戶;電子口碑;Tripadvisor;巴哈姆特
    Date: 2023-07-26
    Issue Date: 2023-10-04 16:07:34 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 分析文本情感是自然語言處理中一項常見的任務,在多年發展後已結合各另領域
    應用於多項任務上,其中,電子口碑(Electronic Words of Mouth, eWoM)透過收集消
    本文參考過去論文方法由 Tripadvisor 與中文社群平台巴哈姆特獲取新的文本資料,
    搭配上 ANTUSD 情感詞典計算文本中情感詞頻率、情感詞強度,以及 VADER 模型分
    析文本中句子的情感強度,最後以 Man-Whitney U 檢定及 Rank-biserial correlation 效果
    手機群體所產生的強度必定大於電腦群體。;Analyzing sentiment is a common task in natural language processing, which has been applied to various domains and tasks over the years. One such domain is electronic word of mouth (eWoM), where consumer reviews are collected and analyzed to understand consumer sentiment and help improve products and services. Previous studies on consumer reviews rarely explored the impact of hardware devices on the expressed emotions. However, recent research has indicated that hardware devices can influence the intensity of emotions conveyed by English users.
    In this study, we collected new textual data from Tripadvisor and the Chinese community platform Bahamut, and used the ANTUSD sentiment lexicon to calculate the frequency and intensity of sentiment words in the text. Additionally, we used the VADER model to analyze the sentiment intensity of sentences. The results were analyzed using the Mann-Whitney U test and the Rank-biserial correlation effect size to investigate whether Chinese users are influenced by their input devices in terms of emotional expression intensity. The findings of this study indicate statistically significant but practically low effect sizes in multiple experiments conducted within the research design, only in few experiments found the statistically significant and effect sizes exist. Based on the experimental findings, this study discovered that the data collected from different websites did not yield consistent results. Although there was indeed variation in emotional intensity due to hardware devices, it was not necessarily the case that the intensity generated by the mobile device group was always greater than that of the computer device group.
    Appears in Collections:[資訊管理研究所] 博碩士論文

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