Part VI: Insights From Textual Data

Part VI delves into understanding public sentiments and economic trends through diverse textual sources. Google search trends serve as a barometer for public sentiment by analyzing frequently searched words or questions over time and across regions. Newspapers, reflective of societal focuses, offer economic signals, and this section introduces methodologies to transform articles into quantifiable data using text mining tools, ranging from simple techniques like the bag-of-words to more intricate ones detecting tonal nuances. Lastly, social media platforms, including Twitter, Facebook, and LinkedIn, are leveraged to sift through vast digital interactions, enabling the extraction of pertinent economic sentiments and trends from online conversations.

Included chapters:

• Chapter 24: “Text Analysis and Mining” introduces the fundamental concepts of text analysis and mining, discussing techniques for cleaning, transforming, and extracting insights from textual data.
• Chapter 25: “Insights From Google Trends” explores economic trends and public sentiment by analyzing frequently searched terms on Google, providing a novel perspective on collective thoughts and emotions.
• Chapter 26: “Insights From Newspapers” focuses on analyzing written content from newspapers, discussing techniques specific to this medium and the economic insights one might derive.
• Chapter 27: “Insights From Social Media” focuses on extracting economic insights from social media platforms such as Twitter, Facebook, and LinkedIn, aiming to filter relevant information from digital chatter to understand prevailing economic sentiments and trends.