Unsupervised Feature Learning for Text Pattern Analysis with Emotional Data Collection: A Novel System for Big Data Analytics

Y Perwej, E Bhuvaneswari, S Kumar… - 2022 International …, 2022 - ieeexplore.ieee.org
When it comes to our everyday life, emotions have a critical role to play. It goes without
saying that it is critical in the context of mobile–computer interaction. In social and mobile …

[Retracted] Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers

A Goswami, MM Krishna, J Vankara… - Computational …, 2022 - Wiley Online Library
When it comes to our everyday life, emotions have a critical role to play. It goes without
saying that it is critical in the context of mobile‐computer interaction. In social and mobile …

A comparison of word-embeddings in emotion detection from text using bilstm, cnn and self-attention

M Polignano, P Basile, M de Gemmis… - Adjunct publication of the …, 2019 - dl.acm.org
User profiling is becoming increasingly holistic by including aspects of the user that until a
few years ago seemed irrelevant. The content that users produce on the Internet and social …

[HTML][HTML] Detection of emotion by text analysis using machine learning

K Machová, M Szabóova, J Paralič, J Mičko - Frontiers in Psychology, 2023 - frontiersin.org
Emotions are an integral part of human life. We know many different definitions of emotions.
They are most often defined as a complex pattern of reactions, and they could be confused …

Effective emotion recognition technique in nlp task over nonlinear big data cluster

WH Park, DR Shin, NMF Qureshi - … and Mobile Computing, 2021 - Wiley Online Library
Human‐to‐human communication can be achieved not only by body language but also by
high‐level language. Moreover, information can be conveyed in writing. In particular, the …

Personality traits prediction from text via machine learning

A Bruno, G Singh - 2022 IEEE World Conference on Applied …, 2022 - ieeexplore.ieee.org
Social media platforms have been expanding their user bases. For example, LinkedIn
counts 917 million monthly visitors, while Twitter has 3.62 billion monthly visitors. YouTube …

Contextual emotion detection in text using deep learning and big data

P Chandra, MT Ahammed, S Ghosh… - 2022 Second …, 2022 - ieeexplore.ieee.org
Conversations on social media nowadays generate a large amount of text, which is a form of
emotion. Users respond emotionally to users by communicating through text messages on …

[PDF][PDF] Emotion detection using online machine learning method and TLBO on mixed script

S Sharma, P Srinivas, R Balabantaray - Language resources and …, 2016 - core.ac.uk
Due to rapid modernization of our societies, most people, if not all, have access to online
social media and mobile communication devices. These people hail from diverse cultures …

[PDF][PDF] A text analysis based seamless framework for predicting human personality traits from social networking sites

A Arya, S Ragini, H Kumar, G Abinaya - International Journal of …, 2012 - mecs-press.net
Predicting human behavior based on the usage of text on social networking sites can be a
challenging area of interest to a particular community. Text mining being a major interest in …

A review of different approaches for detecting emotion from text

AR Murthy, KMA Kumar - IOP Conference Series: Materials …, 2021 - iopscience.iop.org
Emotion detection and analysis is one of the challenging and emerging issues in the field of
natural language processing (NLP). Detecting an individual's emotional state from textual …