Robust natural language processing: Recent advances, challenges, and future directions
Recent natural language processing (NLP) techniques have accomplished high
performance on benchmark data sets, primarily due to the significant improvement in the …
performance on benchmark data sets, primarily due to the significant improvement in the …
Sentiment lexicon expansion using Word2vec and fastText for sentiment prediction in Tamil texts
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 …
in a text into positive or negative. The words which carry the sentiments are the keys in …
Speech2affectivegestures: Synthesizing co-speech gestures with generative adversarial affective expression learning
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 …
speech upper-body gestures with appropriate affective expressions. Our network consists of …
Detection of hate speech text in Hindi-English code-mixed data
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 …
opportunities to people to air their voice. People, irrespective of the age group, use these …
pLM4ACE: A protein language model based predictor for antihypertensive peptide screening
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 …
drug target in clinical treatment for hypertension. This study aims to develop a protein …
A MapReduce opinion mining for COVID-19-related tweets classification using enhanced ID3 decision tree classifier
F Es-Sabery, K Es-Sabery, J Qadir… - IEEE …, 2021 - ieeexplore.ieee.org
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 …
human sentiment in the given text. With the ever-spreading of online purchasing websites …
Depression and suicide risk detection on social media using fasttext embedding and xgboost classifier
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 …
emotional relief. Detection of suicide risk and depression content can save society and the …
A Comparative analysis of word embedding and deep learning for Arabic sentiment classification
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 …
important tool to learn about users' opinions and preferences. However, the accuracy of …
A deep learning-based social media text analysis framework for disaster resource management
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 …
during emergencies like natural or man-made disasters. Real-time analysis of this huge …
Text-Based emotion recognition in English and Polish for therapeutic chatbot
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 …
recognition for English and Polish texts, aiming to work in the context of a therapeutic …