In recent years, the exponential growth of digital documents has been met by rapid progress
in text classification techniques. Newly proposed machine learning algorithms leverage the …

In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

Advanced Persistent Threats (APT) involve multiple attack steps over a long period, and
their investigation requires analysis of myriad logs to identify their attack steps, which are a …

Data mining is used for finding the useful information from the large amount of data. Data
mining techniques are used to implement and solve different types of research problems …

With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …

Humans have been using language for millennia but have only just begun to scratch the
surface of what natural language can reveal about the mind. Here we propose that language …

Stemming is a pre-processing step in Text Mining applications as well as a very common
requirement of Natural Language processing functions. In fact it is very important in most of …

With the continuous evolve of E-commerce systems, online reviews are mainly considered
as a crucial factor for building and maintaining a good reputation. Moreover, they have an …

Salah satu cabang ilmu komputer yaitu pembelajaran mesin (machine learning) menjadi
tren dalam beberapa waktu terakhir. Pembelajaran mesin bekerja dengan memanfaatkan …