Sentiment analysis for fake news detection
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 …
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 …
emerging research area with promising advancements in high-resource languages such as …
XLM-T: Multilingual language models in Twitter for sentiment analysis and beyond
Language models are ubiquitous in current NLP, and their multilingual capacity has recently
attracted considerable attention. However, current analyses have almost exclusively focused …
attracted considerable attention. However, current analyses have almost exclusively focused …
A survey on classification techniques for opinion mining and sentiment analysis
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 …
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
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 …
into one of supporting, denying, querying or commenting on an earlier post, is becoming of …
A survey of code-switched speech and language processing
Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …
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
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 …
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
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 …
analysis of user's opinions about products and services, support for politics during …
Deep learning approaches for Arabic sentiment analysis
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 …
thoughts and insights toward various important topics. Sentiment analysis becomes a hot …
Predicting supervise machine learning performances for sentiment analysis using contextual-based approaches
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 …
unstructured text data such as product reviews or microblogs. It is widely used for brand …