Machine Learning, Data Science, NLP, Dimensionality Reduction, Pca.
(100,000 features, n-gram range: 1,2,3, stop words removal: X) — 82.92% Doc2Vec (unigram DBOW + trigram DMM: total 200 dimension vecotr for each tweet) — 75.76% And in addition to these, I also have my custom-defined classifier using lexical approach. custom lexicon classifier (decision threshold