Twitter POS tagger using hidden markov model with viterbi algorithm
==> Predictiing on Training Data
[111643/111643] right: 1002283 wrong: 77243
==> TAG Accuracy
{ right: 1002283, wrong: 77243 }
Total: 1079526
Accuracy: 92.84473000187118%
==> TWEET Accuracy
{ right: 62576, wrong: 49067 }
Total: 111643
Accuracy: 56.050088227654214%
==> Predictiing on Test Data
[47847/47847] right: 424563 wrong: 38839
==> TAG Accuracy
{ right: 424563, wrong: 38839 }
Total: 463402
Accuracy: 91.61872413153158%
==> TWEET Accuracy
{ right: 24990, wrong: 22857 }
Total: 47847
Accuracy: 52.22897987334629%