Sentiment analysis for fake news detection

MA Alonso, D Vilares, C Gómez-Rodríguez, J Vilares - Electronics, 2021 - mdpi.com
In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

Multilingual sentiment analysis for under-resourced languages: a systematic review of the landscape

KR Mabokela, T Celik, M Raborife - IEEE Access, 2022 - ieeexplore.ieee.org
Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

XLM-T: Multilingual language models in Twitter for sentiment analysis and beyond

F Barbieri, LE Anke, J Camacho-Collados - arxiv preprint arxiv …, 2021 - arxiv.org
Language models are ubiquitous in current NLP, and their multilingual capacity has recently
attracted considerable attention. However, current analyses have almost exclusively focused …

A survey on classification techniques for opinion mining and sentiment analysis

F Hemmatian, MK Sohrabi - Artificial intelligence review, 2019 - Springer
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

Discourse-aware rumour stance classification in social media using sequential classifiers

A Zubiaga, E Kochkina, M Liakata, R Procter… - Information Processing …, 2018 - Elsevier
Rumour stance classification, defined as classifying the stance of specific social media posts
into one of supporting, denying, querying or commenting on an earlier post, is becoming of …

A survey of code-switched speech and language processing

S Sitaram, KR Chandu, SK Rallabandi… - arxiv preprint arxiv …, 2019 - arxiv.org
Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Extracting and summarizing affective features and responses from online product descriptions and reviews: A Kansei text mining approach

WM Wang, Z Li, ZG Tian, JW Wang… - Engineering Applications of …, 2018 - Elsevier
Today's product design takes into account the affective aspects of products, such as
aesthetics and comfort, as much as reliability and physical quality. Manufacturers need to …

A comparative study of machine translation for multilingual sentence-level sentiment analysis

M Araújo, A Pereira, F Benevenuto - Information Sciences, 2020 - Elsevier
Sentiment analysis has become a key tool for several social media applications, including,
analysis of user's opinions about products and services, support for politics during …

Deep learning approaches for Arabic sentiment analysis

A Mohammed, R Kora - Social Network Analysis and Mining, 2019 - Springer
Social media are considered an excellent source of information and can provide opinions,
thoughts and insights toward various important topics. Sentiment analysis becomes a hot …

Predicting supervise machine learning performances for sentiment analysis using contextual-based approaches

AA Aziz, A Starkey - IEEE Access, 2019 - ieeexplore.ieee.org
Sentiment Analysis (SA) is focused on mining opinion (identification and classification) from
unstructured text data such as product reviews or microblogs. It is widely used for brand …