Ride-hailing services have gained popularity in recent years due to attributes such as reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID-19, the ride-hailing market is estimated to lose its fair share of an uprising as a transportation mode. During normal...

Ride-hailing services have gained popularity in recent years due to attributes such as reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID-19, the ride-hailing market is estimated to lose its fair share of an uprising as a transportation mode. During normal...

En este artículo se muestra una aplicación de la minería de textos para extraer información de documentos financieros y usar esta información para crear índices de sentimiento. En particular, el análisis se centra en los diferentes números del Informe de Estabilidad Financiera (IEF) del...

En este artículo se muestra una aplicación de la minería de textos para extraer información de documentos financieros y usar esta información para crear índices de sentimiento. En particular, el análisis se centra en los diferentes números del Informe de Estabilidad Financiera (IEF) del...

This study tries to unravel the stock market prediction puzzle using the textual analytic with the help of natural language processing (NLP) techniques and Deep-learning recurrent model called long short term memory (LSTM). Instead of using count-based traditional sentiment index methods, the...

Social media enable companies to assess consumers' opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We...