Transformer based deep intelligent contextual embedding for twitter sentiment analysis

U Naseem, I Razzak, K Musial, M Imran - Future Generation Computer …, 2020 - Elsevier
Along with the emergence of the Internet, the rapid development of handheld devices has
democratized content creation due to the extensive use of social media and has resulted in …

Semeval-2016 task 5: Aspect based sentiment analysis

M Pontiki, D Galanis, H Papageorgiou… - … workshop on semantic …, 2016 - hal.science
This paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis
(ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task …

[PDF][PDF] Collaboro: a collaborative (meta) modeling tool

JLC Izquierdo, J Cabot - PeerJ Computer Science, 2016 - peerj.com
Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction

M Atzeni, DR Recupero - Future Generation Computer Systems, 2020 - Elsevier
This paper presents a state-of-the-art approach for sentiment polarity classification. Our
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …

Sentiment analysis of twitter data: A hybrid approach

A Srivastava, V Singh, GS Drall - International Journal of Healthcare …, 2019 - igi-global.com
Over the past few years, the novel appeal and increasing popularity of social networks as a
medium for users to express their opinions and views have created an accumulation of a …

[HTML][HTML] Popularity prediction of instagram posts

S Carta, AS Podda, DR Recupero, R Saia, G Usai - Information, 2020 - mdpi.com
Predicting the popularity of posts on social networks has taken on significant importance in
recent years, and several social media management tools now offer solutions to improve …

Leveraging semantics for sentiment polarity detection in social media

A Dridi, D Reforgiato Recupero - International Journal of Machine …, 2019 - Springer
With the increase use of microblogs and social media platforms as forms of on-line
communication, we now have a huge amount of opinionated data reflecting people's …

[書籍][B] Natural language processing for the semantic web

D Maynard, K Bontcheva, I Augenstein - 2017 - Springer
Natural Language Processing (NLP) is the automatic processing of text written in natural
(human) languages (English, French, Chinese, etc.), as opposed to artificial languages such …

[PDF][PDF] A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification.

S Carta, A Corriga, R Mulas, DR Recupero… - KDIR, 2019 - pdfs.semanticscholar.org
Nowadays, communications made by using the modern Internet-based opportunities have
revolutionized the way people exchange information, allowing real-time discussions among …

[HTML][HTML] An assessment of deep learning models and word embeddings for toxicity detection within online textual comments

D Dessì, DR Recupero, H Sack - Electronics, 2021 - mdpi.com
Today, increasing numbers of people are interacting online and a lot of textual comments
are being produced due to the explosion of online communication. However, a paramount …