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Emotion and sentiment analysis from Twitter text
K Sailunaz, R Alhajj - Journal of computational science, 2019 - Elsevier
Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …
share their views and perspectives on different issues and subjects with their friends, family …
Digital data and personality: A systematic review and meta-analysis of human perception and computer prediction.
In recent years, our increasing use of technology has resulted in the production of vast
amounts of data. Consequently, many researchers have analyzed digital data in attempt to …
amounts of data. Consequently, many researchers have analyzed digital data in attempt to …
A systematic literature review of personality trait classification from textual content
H Ahmad, MZ Asghar, AS Khan, A Habib - Open Computer Science, 2020 - degruyter.com
The day-to-day use of digital devices with Internet access, such as tablets and smartphones,
has increased exponentially in recent years and this has had a consequent effect on the …
has increased exponentially in recent years and this has had a consequent effect on the …
Understanding characteristics of popular streamers on live streaming platforms: Evidence from Twitch. tv
Live streaming platforms such as Twitch and Periscope have become some of the most
popular synchronous social networking services. In order to attract viewers, streamers are …
popular synchronous social networking services. In order to attract viewers, streamers are …
A hybrid deep learning technique for personality trait classification from text
H Ahmad, MU Asghar, MZ Asghar, A Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, Cognitive-based Sentiment Analysis with emphasis on automatic detection of user
behaviour, such as personality traits, based on online social media text has gained a lot of …
behaviour, such as personality traits, based on online social media text has gained a lot of …
Emotional community detection in social networks
It is vastly acknowledged that analyzing social networks is a very challenging research area.
Take as a striking example the organization of vertices in clusters, with many edges joining …
Take as a striking example the organization of vertices in clusters, with many edges joining …
Using textual data for personality prediction: a machine learning approach
AV Kunte, S Panicker - 2019 4th international conference on …, 2019 - ieeexplore.ieee.org
Personality is an important parameter as it differentiates various individuals from one
another. Personality prediction is an evergreen area of research. Predicting personality with …
another. Personality prediction is an evergreen area of research. Predicting personality with …
My tweets bring all the traits to the yard: Predicting personality and relational traits in Online Social Networks
Users in Online Social Networks (OSNs,) leave traces that reflect their personality
characteristics. The study of these traces is important for several fields, such as social …
characteristics. The study of these traces is important for several fields, such as social …
Decoding gender on social networks: An in-depth analysis of language in online discussions using natural language processing and machine learning
In today's digital era, the internet is an indispensable platform for self-expression, facilitating
communication, idea sharing, and community formation. Language, a pivotal tool in these …
communication, idea sharing, and community formation. Language, a pivotal tool in these …
T-PCCE: twitter personality based communicative communities extraction system for big data
The identification of social media communities has recently been of major concern, since
users participating in such communities can contribute to viral marketing campaigns. In this …
users participating in such communities can contribute to viral marketing campaigns. In this …