Analyzing the attitude of Indian citizens towards COVID-19 vaccine–A text analytics study
Background and aims The government of India recently planned to start the process of the
mass vaccination program to end the COVID-19 crises. However, the process of vaccination …
mass vaccination program to end the COVID-19 crises. However, the process of vaccination …
Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs
This paper illustrates five different techniques to assess the distinctiveness of topics, key
terms and features, speed of information dissemination, and network behaviors for Covid19 …
terms and features, speed of information dissemination, and network behaviors for Covid19 …
EMOCOV: Machine learning for emotion detection, analysis and visualization using COVID-19 tweets
The adversarial impact of the Covid-19 pandemic has created a health crisis globally all
over the world. This unprecedented crisis forced people to lockdown and changed almost …
over the world. This unprecedented crisis forced people to lockdown and changed almost …
NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages
Social media messages, such as tweets, are frequently used by people during natural
disasters to share real‐time information and to report incidents. Within these messages …
disasters to share real‐time information and to report incidents. Within these messages …
A survey on emotion–cause extraction in psychological text using deep learning methods
A Kumar, AK Jain - Progress in Artificial Intelligence, 2023 - Springer
The study that has been done in this survey paper mainly focuses on the recent work in
detecting emotions based on causes. The emotion–cause extraction approach is discussed …
detecting emotions based on causes. The emotion–cause extraction approach is discussed …
Indian citizen's perspective about side effects of COVID-19 vaccine–A machine learning study
Background and aims Ever since the vaccination drive for COVID-19 has started in India, the
citizens have been sharing their views on social media about it. The present study examines …
citizens have been sharing their views on social media about it. The present study examines …
An infoveillance system for detecting and tracking relevant topics from Italian tweets during the COVID-19 event
The year 2020 opened with a dramatic epidemic caused by a new species of coronavirus
that soon has been declared a pandemic by the WHO due to the high number of deaths and …
that soon has been declared a pandemic by the WHO due to the high number of deaths and …
A Tutorial on Event Detection using Social Media Data Analysis: Applications, Challenges, and Open Problems
M Karimiziarani - arXiv preprint arXiv:2207.03997, 2022 - arxiv.org
In recent years, social media has become one of the most popular platforms for
communication. These platforms allow users to report real-world incidents that might swiftly …
communication. These platforms allow users to report real-world incidents that might swiftly …
[HTML][HTML] Are Twitter sentiments during COVID-19 pandemic a critical determinant to predict stock market movements? A machine learning approach
The problem of stock market prediction is a challenging task owing to its complex nature and
the numerous indirect factors at play. The sentiments regarding socio-political issues such …
the numerous indirect factors at play. The sentiments regarding socio-political issues such …
[图书][B] The theory and practice of social machines
In 2007 and into 2008, a disputed presidential election in Kenya ended in a tragic and
complex pattern of violent protests, heavy-handed responses from the police and ethnically …
complex pattern of violent protests, heavy-handed responses from the police and ethnically …