Social media has become common as a means to convey opinions and express the extent
of satisfaction and dissatisfaction with a service or product. In the Kingdom of Saudi Arabia …

The prediction of the “ups and downs” of stock market prices is one of the important
undertakings of the financial market. Since accurate prediction helps foster considerable …

Customer satisfaction and loyalty are essential for every business. Feedback prediction and
social media classification are crucial and play a key role in accurately identifying customer …

A key aspect of Knowledge fusion is Entity Matching. The objective of this study was to
investigate how to identify heterogeneous expressions of the same real-world entity. In …

文本分类任务作为文本挖掘的核心问题, 已成为自然语言处理领域的一个重要课题.
而短文本分类由于稀疏性, 实时性和不规范性等特点, 已成为文本分类亟待解决的问题之一 …

Active learning has the power to significantly reduce the amount of labeled data needed to
build strong classifiers. Existing active pseudo-labeling methods show high potential in …

Sentence Boundary Disambiguation (SBD) is a preprocessing step for natural language
processing. Segmenting text into sentences is essential for Deep Learning (DL) and …

A high-quality annotated text corpus is vital when training a deep learning model. However,
it is insurmountable to acquire absolute abundant label-balanced data because of the huge …

Supervised machine learning-based models are generally used for classifying tweets
related to crisis. A labelled tweet dataset is a major requirement for training the models …

Accurate estimation of communication bandwidth is critical for the sensing and controlling
applications of smart grid. Different from public network, the bandwidth requirements of …