Sarcasm is a complicated linguistic term commonly found in e-commerce and social media
sites. Failure to identify sarcastic utterances in Natural Language Processing applications …

Electromagnetic resonance is the most important distinguishing property of metamaterials to
examine many unusual phenomena. The resonant response of metamaterials can depend …

To forecast the movement directions of stocks, exchange rates, and stock markets are
significant and an active research area for investors, analysts, and researchers. In this …

Newspapers introduce us to the latest happenings around the world. Going paperless
creates more opportunities for newspapers, like broadcasting news coverage and …

Abstrak− Berita online telah menjadi gaya hidup di era saat ini. Berita online telah merubah
cara lama masyarakat dalam mencari dan memperoleh informasi berita yang dulunya dari …

Motivated by the seemingly high accuracy levels of machine learning (ML) models in
Moldavian versus Romanian dialect identification and the increasing research interest on …

Word embeddings are fixed-length, dense and distributed word representations that are
used in natural language processing (NLP) applications. There are basically two types of …

As a well-known Natural Language Processing (NLP) task, text classification can be defined
as the process of categorizing documents depending on their content. In this process …

In affective computing, sarcasm detection is vital because sarcasm can affect the polarity of
sentiment analysis. Sarcasm is one of the most challenging problems researchers face …

Social media platforms and online gaming sites play a pervasive role in facilitating peer
interaction and social development for adolescents, but they also pose potential threats to …