Robust natural language processing: Recent advances, challenges, and future directions

M Omar, S Choi, DH Nyang, D Mohaisen - IEEE Access, 2022 - ieeexplore.ieee.org
Recent natural language processing (NLP) techniques have accomplished high
performance on benchmark data sets, primarily due to the significant improvement in the …

pLM4ACE: A protein language model based predictor for antihypertensive peptide screening

Z Du, X Ding, W Hsu, A Munir, Y Xu, Y Li - Food chemistry, 2024 - Elsevier
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 …

Depression and suicide risk detection on social media using fasttext embedding and xgboost classifier

S Ghosal, A Jain - Procedia Computer Science, 2023 - Elsevier
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 lexicon expansion using Word2vec and fastText for sentiment prediction in Tamil texts

S Thavareesan, S Mahesan - 2020 Moratuwa engineering …, 2020 - ieeexplore.ieee.org
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 …

Detection of hate speech text in Hindi-English code-mixed data

K Sreelakshmi, B Premjith, KP Soman - Procedia Computer Science, 2020 - Elsevier
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 …

Speech2affectivegestures: Synthesizing co-speech gestures with generative adversarial affective expression learning

U Bhattacharya, E Childs, N Rewkowski… - Proceedings of the 29th …, 2021 - dl.acm.org
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 …

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 …

A Comparative analysis of word embedding and deep learning for Arabic sentiment classification

SF Sabbeh, HA Fasihuddin - Electronics, 2023 - mdpi.com
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 …

Natural language processing: An overview of models, transformers and applied practices

S Canchila, C Meneses-Eraso… - Computer Science and …, 2024 - riunet.upv.es
[EN] The study of utilizing human language in computer systems referred to as NLP, is
becoming increasingly significant in various aspects of life, including research, daily …

A deep neural network‐based approach for sentiment analysis of movie reviews

K Ullah, A Rashad, M Khan, Y Ghadi, H Aljuaid… - …, 2022 - Wiley Online Library
The number of comments/reviews for movies is enormous and cannot be processed
manually. Therefore, machine learning techniques are used to efficiently process the user's …