Abstract Interest in Opinion Mining has been growing steadily in the last years, mainly
because of its great number of applications and the scientific challenge it poses …

It is very current in today life to seek for tracking the people opinion from their interaction with
occurring events. A very common way to do that is comments in articles published in …

Presented here is a brief state‐of‐the‐art account on part‐of‐speech (POS) tagging. POS
tagging is an essential preprocessing task for many natural language processing goals and …

Agreement measures have been widely used in computational linguistics for more than 15
years to check the reliability of annotation processes. Although considerable effort has been …

The emerging research area of opinion mining deals with computational methods in order to
find, extract and systematically analyze people's opinions, attitudes and emotions towards …

In this paper, we propose a new approach to construct a system of transformation rules for
the Part-of-Speech (POS) tagging task. Our approach is based on an incremental …

This paper compares k-means and fuzzy c-means for clustering a noisy realistic and big
dataset. We made the comparison using a free cloud computing solution Apache …

Personality distinctively characterises an individual and profoundly influences behaviours.
Social media offer the virtual community an unprecedented opportunity to generate content …

This article describes stages in annotation of the 113 million Corpus of Contemporary
Serbian (preparation and implementation). There are several levels of annotation which …

Context: Terminological inconsistencies owing to errors in usage of terms in requirements
specifications could result into subtle yet critical problems in interpreting and applying these …