【摘要】：基于情緒分類取向,通過(guò)界定三個(gè)旅游文本情感分析的過(guò)濾參數(shù):旅游專屬詞庫(kù)、語(yǔ)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(píng)價(jià)模型。基于該模型,抓取了120731條游客評(píng)論對(duì)8個(gè)旅游目的地進(jìn)行評(píng)價(jià),并以聯(lián)合國(guó)世界旅游組織旅游可持續(xù)發(fā)展監(jiān)測(cè)數(shù)據(jù)作為標(biāo)準(zhǔn)數(shù)據(jù)進(jìn)行校驗(yàn)。研究證實(shí)三個(gè)過(guò)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(duì)目的地評(píng)價(jià)的總體情感意象;經(jīng)過(guò)單年度和多年度校驗(yàn),六類規(guī)則的準(zhǔn)確度依次為:C2C1C3B評(píng)分法A,即規(guī)則C2下的評(píng)價(jià)結(jié)果與監(jiān)測(cè)結(jié)果最為吻合。結(jié)論證實(shí)了旅游大數(shù)據(jù)的可用性,為后續(xù)的理論推進(jìn)和實(shí)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(huì)科學(xué)研究青年基金項(xiàng)目(14YJC790083) 國(guó)家自然科學(xué)基金項(xiàng)目(41571137)
【分類號(hào)】：F591

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