本文選題：慕課 + 課程評(píng)論��； 參考：《電化教育研究》2017年11期

【摘要】：文章從大數(shù)據(jù)的視角,應(yīng)用語(yǔ)義分析的方法對(duì)慕課評(píng)論進(jìn)行了分析和挖掘。針對(duì)慕課評(píng)論數(shù)量大且信息混雜的特點(diǎn),文章提出了一種面向大數(shù)據(jù)的慕課評(píng)論語(yǔ)義分析模型。在該模型中,慕課評(píng)論被分為三種主要的類別:內(nèi)容相關(guān)類、情感相關(guān)類和其他類。針對(duì)不同類別的差異,文章提出了基于詞類的語(yǔ)義特征用于對(duì)評(píng)論進(jìn)行表征和分類。以愛課程慕課上的四門課程評(píng)論作為實(shí)例進(jìn)行分析發(fā)現(xiàn):(1)以詞類作為語(yǔ)義特征進(jìn)行評(píng)論分類,單課程內(nèi)部分類精度可達(dá)到84.36%,跨課程分類精度可達(dá)到79.72%以上;(2)針對(duì)內(nèi)容相關(guān)類評(píng)論,通過詞云分析可發(fā)現(xiàn)學(xué)習(xí)者的關(guān)注熱點(diǎn);(3)針對(duì)情感相關(guān)類評(píng)論,通過情感分析可評(píng)價(jià)學(xué)習(xí)者對(duì)課程的情感傾向;(4)針對(duì)其他類評(píng)論,通過關(guān)鍵詞過濾和句式分析,可挖掘出學(xué)習(xí)者求助信息,完善課程支持服務(wù)。
[Abstract]:From big data's angle of view, this paper analyzes and excavates the comment of Mu class by semantic analysis.In view of the large number of reviews and mixed information, this paper puts forward a semantic analysis model for big data.In this model, MU reviews are divided into three main categories: content related, affective and other categories.According to the differences of different categories, this paper proposes a semantic feature based on part of speech for representation and classification of comments.Taking the four course reviews in Love course as an example, we find that the comments are classified by parts of speech as semantic features.The accuracy of single course classification can reach 84.36%, and the accuracy of cross-course classification can reach 79.72%. (2) through word cloud analysis, it can be found that learners pay more attention to the comments of affective related categories.Through affective analysis, we can evaluate learners' affective tendency to curriculum. (4) aiming at other kinds of comments, through keyword filtering and sentence structure analysis, we can find out learners' help information and perfect curriculum support service.
【作者單位】： 華中師范大學(xué)教育信息技術(shù)學(xué)院;浙江師范大學(xué)教師教育學(xué)院;中南民族大學(xué)教育學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目“網(wǎng)絡(luò)學(xué)習(xí)資源深度聚合及個(gè)性化服務(wù)機(jī)制研究”(項(xiàng)目編號(hào):71704062) 國(guó)家自然科學(xué)基金項(xiàng)目“非數(shù)學(xué)語(yǔ)言描述問題的機(jī)器理解方法研究”(項(xiàng)目編號(hào):61772012)
【分類號(hào)】：G434
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本文編號(hào)：1731837