Background: Sentiment analysis (SA) is a subfield of natural language processing whose
aim is to automatically classify the sentiment expressed in a free text. It has found practical …

Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …

Today, the use of social networks is growing ceaselessly and rapidly. More alarming is the
fact that these networks have become a substantial pool for unstructured data that belong to …

Sentiment analysis is a broadly employed method for finding and extracting the appropriate
polarity of text sources using Natural language Processing (NLP) methods. This paper …

Tutoring programs are effective in reducing school failures among at-risk students. However,
there is still room for improvement in maximising the social returns they provide on …

Intelligently extracting knowledge from social media has recently attracted great interest from
the Biomedical and Health Informatics community to simultaneously improve healthcare …

This work aims to estimate the degree of adverse drug reactions (ADR) for psychiatric
medications from social media, including Twitter, Reddit, and LiveJournal. Advances in …

Many studies have examined crisis management in various business sectors. However,
COVID-19 has presented unique and interesting challenges. Using an online survey (n …

Opinion mining is a well-known problem in natural language processing that increasing
attention in recent years. With the rapid growth in e-commerce, reviews for popular products …

Revised: 27/Oct/2017, Accepted: 19/Nov/2017, Published: 30/Nov/2017 Abstract-Knowledge
plays a vital role in every sphere of human life. Data Mining supports to acquire knowledge …