Conference prediction for research papers via various machine-learning models. We look at one class of models that use the bag-of-words approach together with TFIDF-ing: Naive Bayes, Logistic Regression & Support Vector Machines. The other class uses word-embedding and takes the relational structure into account via an LSTM core.
Paper: Text classification - Conference Recommendation for Research Papers
Authors: Rutger Mauritz & Femke Boelens
NLP, text-classification, LSTM, bag-of-words, TFIDF, machine-learning, deep-learning