Using co-word network community detection and LDA topic model to extract topics on TED Talks.

This project applies two automatic clustering (co-word network analysis with community detection & NLP techniques with LDA topic modeling) on 3 data columns (related tags, video description and transcript) to extract topics from TED Talks, and discerns whether more controlled vocabularies and...

A visualization of The World Happiness Report.

The World Happiness Report is a landmark survey of global happiness. Happiness scores are based on answers to the main life evaluation question asked in the poll. Following the happiness score are GDP per capita, social support, healthy life expectancy, freedom to make choices, generosity and...

Perspectives to the Future of Software Startups in the U.S.

This study aims to explore the ecosphere of the startups in the U.S. software industry and build a predictive model to foresee their future development. Several visualization graphs are presented to depict different aspects of the ecosphere; by interpreting the information revealed from which,...

Sentiment analyses of virus names and world’s sentiments on Taiwan’s inclusion in WHO/WHA under the influence of COVID-19.

Tweets with non-official references of the virus name (pneumonia & Wuhan virus) show lower and more negative sentiment scores in either Chinese or English context. The difference of sentiment scores inferred from some frequent hashtags are larger under tweets written in Simplified Chinese than...