【摘要】：基于情緒分類取向,通過界定三個旅游文本情感分析的過濾參數(shù):旅游專屬詞庫、語義邏輯規(guī)則和情感乘數(shù),構(gòu)建基于網(wǎng)絡(luò)大數(shù)據(jù)的旅游目的地情感評價模型�；谠撃Ｐ�,抓取了120731條游客評論對8個旅游目的地進(jìn)行評價,并以聯(lián)合國世界旅游組織旅游可持續(xù)發(fā)展監(jiān)測數(shù)據(jù)作為標(biāo)準(zhǔn)數(shù)據(jù)進(jìn)行校驗。研究證實三個過濾參數(shù)具有一定的科學(xué)性,能夠較為準(zhǔn)確地捕捉到游客對目的地評價的總體情感意象;經(jīng)過單年度和多年度校驗,六類規(guī)則的準(zhǔn)確度依次為:C2C1C3B評分法A,即規(guī)則C2下的評價結(jié)果與監(jiān)測結(jié)果最為吻合。結(jié)論證實了旅游大數(shù)據(jù)的可用性,為后續(xù)的理論推進(jìn)和實踐應(yīng)用提供了科學(xué)依據(jù)。
[Abstract]:Based on emotion classification orientation, by defining three filter parameters of tourism text emotion analysis: tourism-specific lexicon, semantic logic rules and emotion multiplier, this paper constructs a tourism destination emotion evaluation model based on network big data. Based on the model, 120731 tourist comments were captured to evaluate 8 tourist destinations, and the monitoring data of tourism sustainable development of the United Nations World Tourism Organization (WTO) was used as the standard data for verification. The research proves that the three filtering parameters are scientific and can accurately capture the overall emotional image of tourists' evaluation of destination. After single-year and multi-year verification, the accuracy of the six types of rules is as follows: C2C1C3B scoring method A, that is, the evaluation results under rule C2 are the most consistent with the monitoring results. The conclusion confirms the usability of tourism big data and provides a scientific basis for the follow-up theoretical advancement and practical application.
【作者單位】： 中山大學(xué)旅游學(xué)院;
【基金】：教育部人文社會科學(xué)研究青年基金項目(14YJC790083) 國家自然科學(xué)基金項目(41571137)
【分類號】：F591

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