" I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data
Large language models have recently attracted significant attention due to their impressive
performance on a variety of tasks. ChatGPT developed by OpenAI is one such …
performance on a variety of tasks. ChatGPT developed by OpenAI is one such …
Techniques for sentiment analysis of Twitter data: A comprehensive survey
The World Wide Web has intensely evolved a novel way for people to express their views
and opinions about different topics, trends and issues. The user-generated content present …
and opinions about different topics, trends and issues. The user-generated content present …
Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
The popularity of online social networks has created massive social communication among
their users and this leads to a huge amount of user-generated communication data. In recent …
their users and this leads to a huge amount of user-generated communication data. In recent …
Fuzzy rule based unsupervised sentiment analysis from social media posts
S Vashishtha, S Susan - Expert Systems with Applications, 2019 - Elsevier
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
On stopwords, filtering and data sparsity for sentiment analysis of twitter
Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations,
irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to …
irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to …
Monitoring the public opinion about the vaccination topic from tweets analysis
The paper presents an intelligent system to automatically infer trends in the public opinion
regarding the stance towards the vaccination topic: it enables the detection of significant …
regarding the stance towards the vaccination topic: it enables the detection of significant …
Using Twitter trust network for stock market analysis
Online social networks are now attracting a lot of attention not only from their users but also
from researchers in various fields. Many researchers believe that the public mood or …
from researchers in various fields. Many researchers believe that the public mood or …
[HTML][HTML] Bootstrapping semi-supervised annotation method for potential suicidal messages
RWA Caicedo, JMG Soriano, HAM Sasieta - Internet Interventions, 2022 - Elsevier
The suicide of a person is a tragedy that deeply affects families, communities, and countries.
According to the standardized rate of suicides per number of inhabitants worldwide, in 2022 …
According to the standardized rate of suicides per number of inhabitants worldwide, in 2022 …
Analyzing polarization of social media users and news sites during political campaigns
Social media analysis is a fast growing research area aimed at extracting useful information
from social networks. Recent years have seen a great interest from academic and business …
from social networks. Recent years have seen a great interest from academic and business …
Sentiment analysis using machine learning and deep learning
Y Chandra, A Jana - 2020 7th international conference on …, 2020 - ieeexplore.ieee.org
With the increasing rate at which data is created by internet users on various platforms, it
becomes necessary to analyze and make use of the data by the Defense and other …
becomes necessary to analyze and make use of the data by the Defense and other …