We can leverage data and complex systems science to better understand society and
human nature on a population scale through language---utilizing tools that include …

Widespread interest exists in government in applying data analytics techniques to 'big data',
for example social media data, to gauge sentiment among populations. Two catchphrases …

The digital traces generated by social media offer the opportunity to analyze human
behavior at new scales, depths, and resolutions. The results of analyses of social media …

More of the social world lives within electronic text than ever before, from collective activity
on the web, social media, and instant messaging to online transactions, government …

The aim of Sentiment Analysis is to define automatic tools able to extract subjective
information from texts in natural language, such as opinions and sentiments, in order to …

This research investigates improving sentiment analysis by integrating pre-trained GloVe
embeddings with LSTM and Transformer architectures. Driven by the need for finer …

This chapter is focusing on sentiment analysis—the computational detection and study of
opinions and viewpoints underlying a text span-in social text settings: short, informal, and …

In this chapter, we delve into the multifaceted world of human emotions through the lens of
advanced analysis techniques, aiming to unlock a deeper understanding of human behavior …

Emulating the human brain is one of the core challenges of computational intelligence,
which entails many key problems of artificial intelligence, including understanding human …

Sentiment analysis is an increasingly popular instrument for the analysis of social media
discourse. Sentiment scores seemingly represent an objective means of assessing the …