Abstract Social Networking Services (SNSs) connect people worldwide, where they
communicate through sharing contents, photos, videos, posting their first-hand opinions …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

A popular unsupervised learning method, known as clustering, is extensively used in data
mining, machine learning and pattern recognition. The procedure involves grouping of …

Sentiment Analysis on Twitter Data is indeed a challenging problem due to the nature,
diversity and volume of the data. People tend to express their feelings freely, which makes …

Sentiment Analysis of large-scale data has become increasingly important and has attracted
many researchers, urging them to use new platforms and tools that can handle large …

Microblogging has become an extremely popular communication tool among Internet users
worldwide. Millions of users daily share a huge amount of information related to various …

Twitter is a microblogging platform that generates large volumes of data with high velocity.
This daily generation of unbounded and continuous data leads to Big Data streams that …

There are many data sources that produce large volumes of data. The Big Data nature
requires new distributed processing approaches to extract the valuable information. Real …

In light of the rapidly growing passenger and flight volumes, airports seek for sustainable
solutions to improve passengers' experience and comfort, while maximizing their profits. A …

Sentiment analysis has become an interesting field for both research and industrial
domains. The expression sentiment refers to the feelings or thought of the person across …