Research on Cross-Cultural Language Use and Emotional Tendencies on Social Media Platforms Based on Big Data Analysis: Taking ...

Time series analysis and forecasting future values has been a major research focus since years ago. Time series analysis and forecasting in time series data finds it significance in many applications ...

Although current time-series forecasting methods have significantly improved the state-of-the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have difficulty in ...

What is this book about? Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide ...

3 To address these limitations, text analysis ... removed duplicates using DOI and title, yielding a final dataset of 2 512 445 documents. Titles and abstracts were processed to extract time-related ...

A time series is a sequence of numerical data points in successive order. In investing, it tracks the movement of the chosen data points at regular intervals and over a specified period of time.