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*Started to work on the classifier by studying machine learning models
*Edited words.txt with new words and remove words that i don't think help with the classification. Removed: march/ Added: rundown, list, mentors, overview, graduating, company, founders.
*The new words.txt has had increased the accuracy from 0.76 to 0.83 in the first run*The accuracy really fluctuated. Got as low as 0.74 but the highest run has been 0.866
2018-06-28:
