A survey on sentiment analysis methods, applications, and challenges
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
Systematic reviews in sentiment analysis: a tertiary study
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
COVIDSenti: A large-scale benchmark Twitter data set for COVID-19 sentiment analysis
Social media (and the world at large) have been awash with news of the COVID-19
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
pandemic. With the passage of time, news and awareness about COVID-19 spread like the …
Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
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 …
A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter
Pre-processing plays an essential role in disambiguating the meaning of short-texts, not only
in applications that classify short-texts but also for clustering and anomaly detection. Pre …
in applications that classify short-texts but also for clustering and anomaly detection. Pre …
Computer-aided molecular design of ionic liquids as advanced process media: a review from fundamentals to applications
The unique physicochemical properties, flexible structural tunability, and giant chemical
space of ionic liquids (ILs) provide them a great opportunity to match different target …
space of ionic liquids (ILs) provide them a great opportunity to match different target …
A large scale group decision making system based on sentiment analysis cluster
Nowadays, group decision making is an everyday occurrence in different scenarios, such as
marketing or social networks. These social networks have facilitated communication …
marketing or social networks. These social networks have facilitated communication …
[HTML][HTML] Social media polarization and echo chambers in the context of COVID-19: Case study
Background: Social media chatter in 2020 has been largely dominated by the COVID-19
pandemic. Existing research shows that COVID-19 discourse is highly politicized, with …
pandemic. Existing research shows that COVID-19 discourse is highly politicized, with …
Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …