Thanks to the Internet, the developments in communication technologies have brought
people closer together in recent years. The slow communication process of the past, using …

Subjectivity analysis is one of the key tasks in the field of natural language processing. Used
to annotate data as subjective or objective, subjectivity analysis can be implemented on its …

Nowadays, topic detection from Twitter attracts the attention of several researchers around
the world. Different topic classification approaches have been proposed as a result of these …

The growing availability of data about online information behaviour enables new
possibilities for political communication research. However, the volume and variety of these …

Thanks to social media, people are now able to leave guiding comments quickly about their
favorite restaurants, movies, etc. This has paved the way for the field of sentiment analysis …

The goal of this paper is to propose a hybrid technique to improve Support Vector Machines
classification accuracy using training data sampling and hyperparameter tuning. The …

To understand and measure political information consumption in the high-choice media
environment, we need new methods to trace individual interactions with online content and …

The main purpose of this paper is to emphasize the role of data pre-processing in the
sentiment analysis of Twitter data. The paper provides detailed analysis and methods to …

Recipe sharing websites have become even more popular in the past few decades, and
such repositories are able to keep hundreds of thousands of cooking recipes at the same …

Internet usage has made social media an integral part of our everyday lives. With the aid of
Natural Language Tool Kit (NLTK), sentiment analysis refers to the process of identifying …