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Table 1 Number of fuzzy sentiment words between P_SLi and N_SLi. From Table 1, we can see that there Lonafarnib purchase are some sentiment words whose polarity is ambiguous between P_SLi and N_SLi, which proves the assumption that polarity of sentiment words is not always consistent within different sentiment lexicons. So, we delete these sentiment words whose polarity is ambiguous from P_SLi and N_SLi. Finally, we construct KSL by choosing the sentiment words which is at least contained in two sentiment lexicons and unambiguous in polarity. The method of constructing KSL is shown in P_KSL=?iTyrosine Kinase Inhibitor Library in vitro based on TUSL, NTUSL, and HowNet. To ensure that the polarity of sentiment words is unambiguous in the four sentiment word datasets, we delete the sentiment words whose polarity is ambiguous among the three sentiment lexicons. In order to ensure that sentiment words in the four sentiment word datasets is independent of sentiment VAV2 words in KSL, we delete the sentiment words in KSL from the three sentiment lexicons. The specific method is described as follows. For each SLi which consists of P_SLi and N_SLi, we build sentiment words dataset1, dataset2 and dataset3 according to P_DSiP_SLi?P_SLi��N_SLi?P_KSL,N_DSi=N_SLi?P_SLi��N_SLi?N_KSL. (10) With the same method, we construct a much larger datasets4 in P_DS4=?P_KSL+?i=13P_SLi??i=13P_SLi��?i=13N_SLi,N_DS4=?N_KSL+?i=13N_SLi??i=13P_SLi��?i=13N_SLi. (11) Each sentiment word dataset SWDi consists of positive sentiment words list P_SWDi and negative sentiment words list N_SWDi. At last, we get four sentiment word datasets (http://203.91.121.76/Datasets/) which are summarized in Table 3. Table 3 Distribution of four sentiment words datasets. Since our task is identifying polarity of sentiment words, therefore, we choose classification indicator: precision (P), recall (R), F1 measure, and accuracy (AC?) as metric. The four indicators are defined as follows: Macro_P12R1R1+W2+R2R2+W1,Macro_R=12R1R1+W1+R2R2+W2,Macro_F1=2��Macro_P��Macro_RMacro_P+Macro_R,Acuracy=R1+R2W1+W2+R1+R2. (12) Here R1, R2, W1, and W2 are defined in Table 4. Table 4 Definition of four parameters R1, R2, W1, and W2.