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 …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews
Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
Detecting sentiments in natural language is tricky even for humans, making its automated
detection more complicated. This research proffers a hybrid deep learning model for fine …
detection more complicated. This research proffers a hybrid deep learning model for fine …
Sarcasm detection using soft attention-based bidirectional long short-term memory model with convolution network
A large community of research has been developed in recent years to analyze social media
and social networks, with the aim of understanding, discovering insights, and exploiting the …
and social networks, with the aim of understanding, discovering insights, and exploiting the …
Systematic literature review of sentiment analysis on Twitter using soft computing techniques
Sentiment detection and classification is the latest fad for social analytics on Web. With the
array of practical applications in healthcare, finance, media, consumer markets, and …
array of practical applications in healthcare, finance, media, consumer markets, and …
Discordant storytelling,'honest fakery', identity peddling: How uncanny CGI characters are jamming public relations and influencer practices
E Block, R Lovegrove - Public Relations Inquiry, 2021 - journals.sagepub.com
This article critically explores whether and how computer-generated imagery (CGI)
characters are jamming public relations and influencer practices. We use Miquela, a virtual …
characters are jamming public relations and influencer practices. We use Miquela, a virtual …
[PDF][PDF] Sentiment analysis on twitter
With the rise of social networking epoch, there has been a surge of user generated content.
Microblogging sites have millions of people sharing their thoughts daily because of its …
Microblogging sites have millions of people sharing their thoughts daily because of its …