Job Opportunity Finding by Text Classification
Shilin Zhang, Heping Li, Shuwu Zhang · Procedia Engineering · 2012
Abstract We present a framework to segment words, generate word vectors, train the corpus and make prediction. Based on the text classification technology, we successfully help the disabled persons to acquire job opportunities efficiently in real word. The results show that using this method to build the classifier yields better results than traditional methods. We also experimentally show that careful selection of a subset of features to represent the documents can improve the performance of the classifiers.