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A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
Algorithms in low-code-no-code for research applications: A practical review
F Sufi - Algorithms, 2023 - mdpi.com
Algorithms have evolved from machine code to low-code-no-code (LCNC) in the past 20
years. Observing the growth of LCNC-based algorithm development, the CEO of GitHub …
years. Observing the growth of LCNC-based algorithm development, the CEO of GitHub …
Sentiment analysis using Twitter data: a comparative application of lexicon-and machine-learning-based approach
Y Qi, Z Shabrina - Social network analysis and mining, 2023 - Springer
Social media platform such as Twitter provides a space where users share their thoughts
and opinion as well as connect, communicate, and contribute to certain topics using short …
and opinion as well as connect, communicate, and contribute to certain topics using short …
Fake news detection based on news content and social contexts: a transformer-based approach
Fake news is a real problem in today's world, and it has become more extensive and harder
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
to identify. A major challenge in fake news detection is to detect it in the early phase. Another …
Social media-based COVID-19 sentiment classification model using Bi-LSTM
Internet public social media and forums provide a convenient channel for people concerned
about public health issues, such as COVID-19, to share and discuss information …
about public health issues, such as COVID-19, to share and discuss information …
A machine learning-sentiment analysis on monkeypox outbreak: An extensive dataset to show the polarity of public opinion from Twitter tweets
Research on sentiment analysis has proven to be very useful in public health, particularly in
analyzing infectious diseases. As the world recovers from the onslaught of the COVID-19 …
analyzing infectious diseases. As the world recovers from the onslaught of the COVID-19 …
Automated disaster monitoring from social media posts using AI-based location intelligence and sentiment analysis
Worldwide disasters like bushfires, earthquakes, floods, cyclones, and heatwaves have
affected the lives of social media users in an unprecedented manner. They are constantly …
affected the lives of social media users in an unprecedented manner. They are constantly …
Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets
COVID‐19 has claimed several human lives to this date. People are dying not only because
of physical infection of the virus but also because of mental illness, which is linked to …
of physical infection of the virus but also because of mental illness, which is linked to …
[HTML][HTML] COVID-19 vaccination awareness and aftermath: public sentiment analysis on Twitter data and vaccinated population prediction in the USA
Social media, such as Twitter, is a source of exchanging information and opinion on global
issues such as COVID-19 pandemic. In this study, we work with a database of around 1.2 …
issues such as COVID-19 pandemic. In this study, we work with a database of around 1.2 …
Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …