10SENT.[]{data-label="table:classificationalgorithms"}

Choice of Number of Methods
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To verify the coherence with results obtained by Majority Voting, we perform a test with different number of methods used in the combination. In this test, we want to check how the addition of a method can impact the outcome. We evaluated results of 10SENT combining from 3 up to 10 methods. In these experiments, we included from the best to the worst method in each dataset, according to [@ribeiro2015benchmark]. We noted that adding a new method improves the overall results, but it is possible to note that improvements get smaller with new inclusions. Thus, after a certain number, the gain is minimal. Therefore, we fixed 10 as a good choice to number of methods in 10SENT core.

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**DATASET** & **3** & **4** & **5** & **6** & **7** & **8** & **9** & **10**\
**english\_dailabor** & 49.90 & 65.68 & 68.26 & 66.38 & 67.09 & 68.68 & 66.70 & 69.68\
**aisopos\_ntua** & 41.90 & 59.21 & 57.78 & 61.56 & 59.99 & 58.13 & 59.78 & 65.21\
**tweet\_semevaltest** & 39.54 & 56.31 & 61.51 & 61.65 & 62.06 & 62.94 & 62.26 & 62.64\
**sentistrength\_twitter** & 36.26 & 49.24 