The purpose of this chapter is to shed light on researchers and practitioners about sentiment analysis in hospitality and tourism. The technical details described throughout the chapter with a case study to provide clarifying insights. The proposed chapter adds significantly to the body of text...

Many efforts have been made to measure investor sentiment in financial markets, but only a few studies focus on housing markets. We build sentiment indexes for the Chinese housing market while observing that house price narratives are abundantly documented on social media. With the help of...

A large body of research studies shows that the quantitative outputs of analyst reports (e.g., earnings forecasts and recommendations) have informational value. In this study, by analyzing the textual tone of headlines in analyst reports, I reveal that textual opinion in the reports – a...

As the global energy demand is increasing, the share of renewable energy and specifically wind energy in the supply is growing. While vast literature exists on the design and operation of wind turbines, there exists a gap in the literatüre with regards to the investigation and analysis of wind...

This study uses text and data mining to investigate the relationship between the text patterns of annual reports published by US listed companies and sales performance. Taking previous research a step further, although annual reports show only past and present financial information, analyzing...

In this research, two estimation algorithms for extracting cross-lingual news pairs based on machine learning from financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and tweets are generated on the...