The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Sentiment analysis AKA opinion mining is one of the most widely used NLP applications to
identify human intentions from their reviews. In the education sector, opinion mining is used …

Due to Coronavirus diseases in 2020, all the countries departed into lockdown to combat the
spread of the pandemic situation. Schools and institutions remain closed and students' …

Existing approaches in online health question answering (HQA) communities to identify the
quality of answers either address it subjectively by human assessment or mainly using …

Polysemy is an inherent characteristic of natural language. In order to make it easier to
distinguish between different senses of polysemous words, we propose a method for …

Abstract Recently, text-to-Image (T2I) generation has been well developed by improving
synthesis authenticity, text-consistency and generation diversity. However, large amount of …

Web service discovery is a fundamental task in service-oriented architectures which
searches for suitable web services based on users' goals and preferences. In this paper, we …

Sentiment analysis (SA) has become an essential component of natural language
processing (NLP) with numerous practical applications to understanding “what other people …

In recent years, online course learning has gradually become the mainstream of learning. As
the key data reflecting the quality of online courses, users' comments are very important for …

针对传统的卷积神经网络(Convolutional Neural Network, CNN) 和长短时记忆网络(Long Short-
Term Memory, LSTM) 在提取特征时无法体现每个词语在文本中重要程度的问题 …