Recent natural language processing (NLP) techniques have accomplished high
performance on benchmark data sets, primarily due to the significant improvement in the …

Sentiment Analysis is the process of identifying and categorising the sentiments expressed
in a text into positive or negative. The words which carry the sentiments are the keys in …

We present a generative adversarial network to synthesize 3D pose sequences of co-
speech upper-body gestures with appropriate affective expressions. Our network consists of …

Social media sites like Twitter, Facebook, being user-friendly and a free source, provide
opportunities to people to air their voice. People, irrespective of the age group, use these …

Angiotensin-I converting enzyme (ACE) regulates the renin-angiotensin system and is a
drug target in clinical treatment for hypertension. This study aims to develop a protein …

Opinion Mining (OM) is a field of Natural Language Processing (NLP) that aims to capture
human sentiment in the given text. With the ever-spreading of online purchasing websites …

Nowadays, people with depression reveal their mental conditions on social webs for
emotional relief. Detection of suicide risk and depression content can save society and the …

Sentiment analysis on social media platforms (ie, Twitter or Facebook) has become an
important tool to learn about users' opinions and preferences. However, the accuracy of …

Social media has evolved itself as a significant tool used by people for information spread
during emergencies like natural or man-made disasters. Real-time analysis of this huge …

In this article, we present the results of our experiments on sentiment and emotion
recognition for English and Polish texts, aiming to work in the context of a therapeutic …