NLPIR\/ICTCLA2018 ACADEMIC SEMINAR 3rd ISSUE COMPLETED<\/span><\/span><\/b><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 Last week, Baohua Zhang gave us a presentation on the topic of <\/span>A Societal Sentiment Analysis Predicting the Values and Ethics of individuals by analysis social media content<\/span><\/b>.<\/span><\/span><\/span>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u4fe1\u606f\u68c0\u7d22\u5171\u4eab\u5e73\u53f0;\\\u0006V\u0017o$X\u001aF<\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 After the presentation, several questions were asked. The Q&As are listed as following:<\/span><\/span><\/span>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u4fe1\u606f\u68c0\u7d22\u5171\u4eab\u5e73\u53f0\u0019i\u0015J\bi7B\u000fL’}(I6P\u0006V\u001e_9w<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 Q: What are the advantages and disadvantages of this paper?<\/span><\/span><\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 A: The advantage is the paper covers many experiments with various algrithms, the disadvantage is taking questionaire\u00ad\u2013the way they use to judge one\u2019s values, because everyone could lie when facing a questionaire<\/span><\/span><\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 Q: Why the paper use Schwartz Values Survey?<\/span><\/span><\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 A: Because the survey is very famous and widely used.<\/span><\/span><\/span><\/p>\n

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\u00a0<\/span><\/span>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u4fe1\u606f\u68c0\u7d22\u5171\u4eab\u5e73\u53f01n\bJ\u0006A-T\u0004G7\\ @\u0005[:O\u0007f<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 Q: What are the use of the three machine learing algrithm SMO,LR,RF?<\/span><\/span><\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 A: the paper below will do much good<\/span><\/span><\/span><\/p>\n

#u\u0005k#{&T\u001aJ\u001eg0<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 Ian H. Witten and Eibe Frank. 2005. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann.<\/span><\/span><\/span>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u4fe1\u606f\u68c0\u7d22\u5171\u4eab\u5e73\u53f0\u001eE&k\u0014n\fk\u0010I\u0018R c6i<\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 <\/span><\/span>The powerpoint of the presentation can be download.<\/span><\/span><\/p>\n

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\u00a0 \u00a0 \u00a0 \u00a0 <\/span><\/span> 3.pdf(869 KB)<\/a><\/span>\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e0e\u4fe1\u606f\u68c0\u7d22\u5171\u4eab\u5e73\u53f0\u0015[y6M1A\u0004E\u000fB)y;W\/_6p<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 <\/span><\/span><\/span> $\"IMG_20181010_130601_m\"$ \u00a0 \u00a0 \u00a0 \u00a0 <\/span><\/span><\/span>IMG_20181010_130601_m<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"