A comprehensive survey on sentiment analysis: Approaches, challenges and trends

M Birjali, M Kasri, A Beni-Hssane - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

A survey and comparative study of tweet sentiment analysis via semi-supervised learning

NFFD Silva, LFS Coletta, ER Hruschka - ACM Computing Surveys …, 2016 - dl.acm.org
Twitter is a microblogging platform in which users can post status messages, called “tweets,”
to their friends. It has provided an enormous dataset of the so-called sentiments, whose …

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 …

Analytical mapping of opinion mining and sentiment analysis research during 2000–2015

R Piryani, D Madhavi, VK Singh - Information Processing & Management, 2017 - Elsevier
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Evaluative language beyond bags of words: Linguistic insights and computational applications

F Benamara, M Taboada, Y Mathieu - Computational Linguistics, 2017 - direct.mit.edu
The study of evaluation, affect, and subjectivity is a multidisciplinary enterprise, including
sociology, psychology, economics, linguistics, and computer science. A number of excellent …

Twitter mining using semi-supervised classification for relevance filtering in syndromic surveillance

O Edo-Osagie, G Smith, I Lake, O Edeghere… - PloS one, 2019 - journals.plos.org
We investigate the use of Twitter data to deliver signals for syndromic surveillance in order to
assess its ability to augment existing syndromic surveillance efforts and give a better …

Deep submodular functions

J Bilmes, W Bai - arXiv preprint arXiv:1701.08939, 2017 - arxiv.org
We start with an overview of a class of submodular functions called SCMMs (sums of
concave composed with non-negative modular functions plus a final arbitrary modular). We …

Big data sentiment analysis for brand monitoring in social media streams by cloud computing

F Benedetto, A Tedeschi - … and Ontology Engineering: An Environment of …, 2016 - Springer
The rapid growth of the World Wide Web and social media allows users playing an active
role in the contents' creation process. Users can evaluate the brands' reputation and quality …

On being negative

M Taboada, R Trnavac, C Goddard - Corpus Pragmatics, 2017 - Springer
This paper investigates the pragmatic expressions of negative evaluation (negativity) in two
corpora:(i) comments posted online in response to newspaper opinion articles; and (ii) …

Shifting semantic values of English phrases for classification

VN Phu, VTN Chau, VTN Tran - International Journal of Speech …, 2017 - Springer
The researches of semantics (positive, negative, neutral) are performed for a long time and
they are very important for many commercial applications, many scientific works, etc. In this …