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Table 6 Details of the features

From: Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks

Feature Details Type
F1  
 \(fposD\left( {wup} \right)\) Average positive value of review document where Wu and Palmer is employed as similarity algorithm Sentence level features (SLF)
F2
 \(fnegD\left( {wup} \right)\) Average negative value of review document where Wu and Palmer is employed as similarity algorithm
F3
 \(fneuD\left( {wup} \right)\) Average neutral value of review document where Wu and Palmer is employed as similarity algorithm
F4
 \(fposD\left( {jcn} \right)\) Average positive value of review document where Jiang and Conrath is employed as similarity algorithm
F5
 \(fnegD\left( {jcn} \right)\) Average negative value of review document where Jiang and Conrath is employed as similarity algorithm
F6
 \(fneuD\left( {jcn} \right)\) Average neutral value of review document where Jiang and Conrath is employed as similarity algorithm
F7
 \(fposD\left( {lch} \right)\) Average positive value of review document where Leacock and Chodorow is employed as similarity algorithm
F8
 \(fnegD\left( {lch} \right)\) Average negative value of review document where Leacock and Chodorow is employed as similarity algorithm
F9
 \(fneuD\left( {lch} \right)\) Average neutral value of review document where Leacock and Chodorow is employed as similarity algorithm
F10
 \(fposD\left( {res} \right)\) Average positive value of review document where Resnik is employed as similarity algorithm
F11
 \(fnegD\left( {res} \right)\) Average negative value of review document where Resnik is employed as similarity algorithm
F12
 \(fneuD\left( {res} \right)\) Average neutral value of review document where Resnik is employed as similarity algorithm
F13
 \(fposD\left( {lin} \right)\) Average positive value of review document where Lin is employed as similarity algorithm
F14
 \(fnegD\left( {lin} \right)\) Average negative value of review document where Lin is employed as similarity algorithm
F15
 \(fneuD\left( {lin} \right)\) Average neutral value of review document where Lin is employed as similarity algorithm
F16  
 \(fxD\left( {wup} \right)\) Average \(x\) value of review document where Wu and Palmer is employed as similarity algorithm Domain sensitive features (DSF)
F17
 \(fyD\left( {wup} \right)\) Average \(y\) value of review document where Wu and Palmer is employed as similarity algorithm
F18
 \(fxD\left( {jcn} \right)\) Average \(x\) value of review document where Jiang and Conrath is employed as similarity algorithm
F19
 \(fyD\left( {jcn} \right)\) Average \(y\) value of review document where Jiang and Conrath is employed as similarity algorithm
F20
 \(fxD\left( {lch} \right)\) Average \(x\) value of review document where Leacock and Chodorow is employed as similarity algorithm
F21
 \(fyD\left( {lch} \right)\) Average \(y\) value of review document where Leacock and Chodorow is employed as similarity algorithm
F22
 \(fxD\left( {res} \right)\) Average \(x\) value of review document where Resnik is employed as similarity algorithm
F23
 \(fyD\left( {res} \right)\) Average \(y\) value of review document where Resnik is employed as similarity algorithm
F24
 \(fxD\left( {lin} \right)\) Average \(x\) value of review document where Lin is employed as similarity algorithm
F25
 \(fyD\left( {lin} \right)\) Average \(y\) value of review document where Lin is employed as similarity algorithm