Much of the data produced and consumed by students, teachers, and educational managers
is in textual format. Text Mining (TM) and Natural Language Processing (NLP) have been …

Feature selection and feature extraction have always been of utmost importance owing to
their capability to remove redundant and irrelevant features, reduce the vector space size …

There are a vast number of quantitative and qualitative technological forecasting methods. In
the last decade, advanced quantitative technological forecasting methods based on the …

This paper presents an automated machine learning framework designed to assist
hydrologists in detecting anomalies in time series data generated by sensors in a research …

Movie reviews are a valuable source of information for potential viewers. However, reading
all of the reviews can be time-consuming and overwhelming. Summarizing all of the reviews …

Movies have been important in our lives for many years. Movies provide entertainment,
inspire, educate, and offer an escape from reality. Movie reviews help us choose better …

Movies are the better source of entertainment. Every year, a great percentage of movies are
released. People comment on movies in the form of reviews after watching them. Since it is …

This study identifies the destination attributes of sustainable urban waterfronts that are
frequently mentioned in tourists' online reviews. We analyzed the influence of these …

Movies reviews provide valuable insights that can help people decide which movies are
worth watching and avoid wasting their time on movies they will not enjoy. Movie reviews …

This paper constructs a defect evaluation model of express service, uses the text mining
methods of web crawler, SVM (Support Vector Machine) emotion analysis and LDA (Linear …