A growing body of research explores emoji, which are visual symbols in computer mediated
communication (CMC). In the 20 years since the first set of emoji was released, research on …

Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …

Understanding emotion expressed in language has a wide range of applications, from
building empathetic chatbots to detecting harmful online behavior. Advancement in this area …

Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …

Abstract Big Data and Deep Learning algorithms combined with enormous computing power
have paved ways for significant technological advancements. Technology is evolving to …

Sentiment analysis from text consists of extracting information about opinions, sentiments,
and even emotions conveyed by writers towards topics of interest. It is often equated to …

Emotions are expressed in nuanced ways, which varies by collective or individual
experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed …

Accurate detection of emotion from natural language has applications ranging from building
emotional chatbots to better understanding individuals and their lives. However, progress on …

Automatic abusive language detection is a difficult but important task for online social media.
Our research explores a two-step approach of performing classification on abusive …

Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …