Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …

Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Construction projects are capital-intensive and risk-prone, which can lead to serious claims
and disputes. Thus, early identification and intervention of potential risks in contracts play …

This research presents a novel hybrid sampling technique, implemented at the data level, to
effectively address imbalanced and noisy data in classification processes. The proposed …

Widespread usage of social media platforms like Twitter, Facebook, and YouTube allows
sharing of opinions and suggestions across countries. On the contrary, these platforms are …

Natural language processing is still an emerging field in machine learning. Access to more
and more data sets in textual form, new applications for artificial intelligence and the need …

Abstract Natural Language Generation (NLG) is one of the most critical yet challenging tasks
in all Natural Language Processing applications. It is a process to automate text generation …

John Holland asserts that most people are one of the six personality types such as realistic,
social, investigative, entrepreneurial, traditional, and artistic. Moreover, he claims that …

Semantic relationships between words provide relevant information about the whole idea in
the texts. Existing embedding representation models characterize each word as a vector of …

Locating a specific mobile application screen from existing repositories is restricted to basic
keyword searches, such as Google Image Search, or necessitates a complete query screen …