Search
Search Results
-
Emotion prediction for textual data using GloVe based HeBi-CuDNNLSTM model
In the digital era, social media websites have emerged as powerful tools for sharing emotions worldwide, and significantly impacting people’s social...
-
Detection of Twitter Spam Using GLoVe Vocabulary Features, Bidirectional LSTM and Convolution Neural Network
Twitter spam is used to describe any form of unwanted or unsolicited communications, tweets, or activities that users encounter on the social media...
-
Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe
In the world of technology, the electronic and technical development of the fields of communication and the internet has increased, which has caused...
-
A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques
Sentiment analysis provides valuable insights into people’s opinions, emotions, and attitudes, enabling businesses to make more informed decisions,...
-
Cognitive Engagement Detection of Online Learners Using GloVe Embedding and Hybrid LSTM
This paper presents a method for classifying discussion posts of online courses, aiming to improve students’ cognitive engagement in online learning....
-
Fine-Tuning Transformer-Based Representations in Active Learning for Labelling Crisis Dataset of Tweets
Supervised machine learning-based models are generally used for classifying tweets related to crisis. A labelled tweet dataset is a major requirement...
-
A Diving Glove with Inertial Sensors for Underwater Gesture Recognition
Underwater gesture recognition has emerged as a popular research area for achieving efficient and secure underwater human-human interaction and...
-
Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings
Among the myriad of technical approaches and abstract guidelines proposed to the topic of AI bias, there has been an urgent call to translate the...
-
LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models
The problem of text summarization has consistently been a significant and prominent challenge for a particular language. Each language’s unique...
-
CPPE-5: Medical Personal Protective Equipment Dataset
We present a new challenging dataset, CPPE-5 (Medical Personal Protective Equipment), with the goal to allow the study of subordinate categorization...
-
Enhanced Motor Imagery Based Brain-Computer Interface via Vibration Stimulation and Robotic Glove for Post-Stroke Rehabilitation
Motor imagery based brain-computer interface (MI-BCI) has been extensively researched as a potential intervention to enhance motor function for...
-
SDCF: semi-automatically structured dataset of citation functions
There is increasing research interest in the automatic detection of citation functions, which is why authors of academic papers cite previous works....
-
A Smart Glove for Visually Impaired People Who Attend to the Elections
Visually impaired people encounter many difficulties in their daily life. The participation in elections is one of these difficulties. The voting...
-
DEArt: Dataset of European Art
Large datasets that were made publicly available to the research community over the last 20 years have been a key enabling factor for the advances in...
-
A New Dataset and Method for Creativity Assessment Using the Alternate Uses Task
Creativity ratings by humans for the alternate uses task (AUT) tend to be subjective and inefficient. To automate the scoring process of the AUT,...
-
TrollsWithOpinion: A taxonomy and dataset for predicting domain-specific opinion manipulation in troll memes
Memes have become a de-facto media device in online communication. Unfortunately, memes are also used for trolling, which intends to demean, harass,...
-
Predicting Disasters from Tweets Using GloVe Embeddings and BERT Layer Classification
Twitter, a social media platform, has quickly become one of the most reliable sources of news and other information. With an ever-increasing number...
-
Contextual information usage for the enhancement of basic emotion classification in a weakly labelled social network dataset in Spanish
Basic emotion classification is one of the main tasks of Sentiment Analysis usually performed by using several machine learning techniques. One of...
-
Question classification task based on deep learning models with self-attention mechanism
Question classification (QC) is a process that involves classifying questions based on their type to enable systems to provide accurate responses by...
-
LLQA - Lifelog Question Answering Dataset
Recollecting details from lifelog data involves a higher level of granularity and reasoning than a conventional lifelog retrieval task. Investigating...