Searching, retrieving, and arranging text in ever-larger document collections necessitate
more efficient information processing algorithms. Document categorization is a crucial …

Due to the recent escalation in the amount of text data available and used online, text
classification has become a staple for data analysts when extracting relevant information …

Road safety analysis is typically performed by domain experts on the basis of the information
contained in accident reports. The main challenges are the difficulty of considering a large …

In the age of abundant digital journalism, the categorization of news articles has become
increasingly crucial for efficient information retrieval and analysis. This article examines …

Imbalanced dataset yaitu kondisi di mana dataset didominasi oleh salah satu kelas adalah
permasalahan yang umum ditemukan dalam aplikasi di dunia nyata. Pada penelitian ini …

Develo** technology, easier access to internet networks and the increase in the
widespread use of the internet cause more text data to be produced than ever. Analyzing …

Standard datasets are frequently used to train and evaluate Machine Learning models.
However, the assumed standardness of these datasets leads to a lack of in-depth discussion …

Digital books and internet retailers are growing in popularity daily. Different individuals
prefer various genres of literature. Categorizing genres facilitates the discovery of books that …

A Natural Language Processing Method For The Identification Of Critical Factors Influencing
Road Safety Page 1 1 A Natural Language Processing Method For The Identification Of …

Road safety analysis is typically performed by domain experts on the basis of the information
contained in accident reports. The limitations in such analysis are in the fact of having to …