C5_W2_Emojify_V2 poor predictions

[Zhihan_Zhang]

See this:

Week2 Emoji_v3a low test accuracy but passed the grader

Found the issue - the test dataset CSV file has been mishandled in the past, and the strings contain \t (TAB character) at the end. The training set does not suffer from this issue. I used .split(’ ') to separate the words, which meant the last word of the sentence had a \t stuck to it and was not in the dictionary. The solution is to always use .split() without argument, which strips whitespace by default. With correctly split words, I’m getting 82% accuracy, which is within the expected rang…

After splitting with all the white characters(default setting of .split), my acc bumped to 83%.