A review on sentiment analysis and emotion detection from text

P Nandwani, R Verma - Social network analysis and mining, 2021 - Springer
Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection

R Mao, Q Liu, K He, W Li… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Thanks to the breakthrough of large-scale pre-trained language model (PLM) technology,
prompt-based classification tasks, eg, sentiment analysis and emotion detection, have …

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 …

A complete process of text classification system using state‐of‐the‐art NLP models

V Dogra, S Verma, Kavita, P Chatterjee… - Computational …, 2022 - Wiley Online Library
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data

RK Behera, M Jena, SK Rath, S Misra - Information Processing & …, 2021 - Elsevier
Abstract Analysis of consumer reviews posted on social media is found to be essential for
several business applications. Consumer reviews posted in social media are increasing at …

A look back and a leap forward: a review and synthesis of big data and artificial intelligence literature in hospitality and tourism

H Lv, S Shi, D Gursoy - Journal of Hospitality Marketing & …, 2022 - Taylor & Francis
In reaction to the growing attention paid to big data and artificial intelligence in hospitality
and tourism research, we systematically reviewed 270 relevant studies to identify topical …

Unexpected surprise: Emotion analysis and aspect based sentiment analysis (ABSA) of user generated comments to study behavioral intentions of tourists

P Mehra - Tourism Management Perspectives, 2023 - Elsevier
Scholarly work regarding tourist behavior requires more empirical support especially
concerning methods to extract emotions and sentiments from user-generated comments on …

Sentiment analysis in tourism: capitalizing on big data

AR Alaei, S Becken, B Stantic - Journal of travel research, 2019 - journals.sagepub.com
Advances in technology have fundamentally changed how information is produced and
consumed by all actors involved in tourism. Tourists can now access different sources of …

Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation

Y Guo, SJ Barnes, Q Jia - Tourism management, 2017 - Elsevier
Consumer-generated content has provided an important new information medium for
tourists, throughout the purchasing lifecycle, transforming the way that visitors evaluate …