In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …

Humankind has the ability of learning new things automatically due to the capacities with
which we were born. We simply need to have experiences, read, study… live. For these …

Supervised text classification methods are efficient when they can learn with reasonably
sized labeled sets. On the other hand, when only a small set of labeled documents is …

Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …

Recommender Systems are more and more playing an important role in our life,
representing useful tools helping users to find “what they need” from a very large number of …

The AdaBoost. MH boosting algorithm is considered to be one of the most accurate
algorithms for multi-label classification. AdaBoost. MH works by iteratively building a …

E-Learning is becoming one of the most effective training approaches. In particular, the
blended learning is considered a useful methodology for supporting and understanding …

Daily millions of messages appear on the web, which is becoming a rich source of data for
opinion mining and sentiment analysis. The computational study of opinions, feelings and …

Nowadays, the number of people and companies using the Web to search for and advertise
job opportunities is growing apace, making data related to the Web labor market a rich …

Purpose Text classification is a widely accepted and adopted technique in organizations to
mine and analyze unstructured and semi-structured data. With advancement of …