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 …
Like it or not: A survey of twitter sentiment analysis methods
A Giachanou, F Crestani - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …
one of the most popular microblog platforms on which users can publish their thoughts and …
ABCDM: An attention-based bidirectional CNN-RNN deep model for sentiment analysis
Sentiment analysis has been a hot research topic in natural language processing and data
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
mining fields in the last decade. Recently, deep neural network (DNN) models are being …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
[HTML][HTML] Sentiment analysis and classification of Indian farmers' protest using twitter data
Protests are an integral part of democracy and an important source for citizens to convey
their demands and/or dissatisfaction to the government. As citizens become more aware of …
their demands and/or dissatisfaction to the government. As citizens become more aware of …
Sentiment analysis: A survey on design framework, applications and future scopes
M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
Machine learning and deep learning for sentiment analysis across languages: A survey
EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
What do Airbnb users care about? An analysis of online review comments
This study investigates the attributes that influence Airbnb users' experiences by analysing a
“big data” set of online review comments through the process of text mining and sentiment …
“big data” set of online review comments through the process of text mining and sentiment …
Sentiment analysis based on improved pre-trained word embeddings
Sentiment analysis is a fast growing area of research in natural language processing (NLP)
and text classifications. This technique has become an essential part of a wide range of …
and text classifications. This technique has become an essential part of a wide range of …
A novel machine learning approach for sentiment analysis on Twitter incorporating the universal language model fine-tuning and SVM
B AlBadani, R Shi, J Dong - Applied System Innovation, 2022 - mdpi.com
Twitter sentiment detectors (TSDs) provide a better solution to evaluate the quality of service
and product than other traditional technologies. The classification accuracy and detection …
and product than other traditional technologies. The classification accuracy and detection …