Drug–drug interaction (DDI) is an important part of drug development and
pharmacovigilance. At the same time, DDI is an important factor in treatment planning …

Objectives: We survey recent developments in medical Information Extraction (IE) as
reported in the literature from the past three years. Our focus is on the fundamental …

Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …

Sentiment analysis has been a hot research topic in natural language processing and data
mining fields in the last decade. Recently, deep neural network (DNN) models are being …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

Extensive evaluation on a large number of word embedding models for language
processing applications is conducted in this work. First, we introduce popular word …

Motivation In biomedical research, chemical is an important class of entities, and chemical
named entity recognition (NER) is an important task in the field of biomedical information …

Big web data from sources including online news and Twitter are good resources for
investigating deep learning. However, collected news articles and tweets almost certainly …

Word embedding, where semantic and syntactic features are captured from unlabeled text
data, is a basic procedure in Natural Language Processing (NLP). The extracted features …

This paper aims to explore the impact of war attention on stock volatility predictability by
constructing a new war attention index and employing an extended GARCH-MIDAS-ES …