Word2vec Convolutional Neural Networks for Classification of News Articles and Tweets

This data is intended to reproduce the performance evaluation of the word2vec CNN classification model. It consists of news+CBOW, news+Skipgram, news+random vector, Twitter+CBOW, Twitter+Skipgram, Twitter+random vector. Each file contains values of acuracy, determination, recall, f1 score, and training volume is 4K for the random vector and 10K for the rest.