On the linguistic representational power of neural machine translation models
Despite the recent success of deep neural networks in natural language processing and
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …
[HTML][HTML] Negation and speculation in NLP: a Survey, Corpora, methods, and applications
Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Effect of negation in sentences on sentiment analysis and polarity detection
P Mukherjee, Y Badr, S Doppalapudi… - Procedia Computer …, 2021 - Elsevier
Sentiment analysis is one of the sub-domains of Natural Language Processing (NLP) that is
of piqued interest in the research community. With the advent of e-commerce and social …
of piqued interest in the research community. With the advent of e-commerce and social …
NegBERT: a transfer learning approach for negation detection and scope resolution
A Khandelwal, S Sawant - arXiv preprint arXiv:1911.04211, 2019 - arxiv.org
Negation is an important characteristic of language, and a major component of information
extraction from text. This subtask is of considerable importance to the biomedical domain …
extraction from text. This subtask is of considerable importance to the biomedical domain …
An effective Decision Support System for social media listening based on cross-source sentiment analysis models
Nowadays, companies and enterprises are more and more incline to exploit the pervasive
action of on-line social media, such as Facebook, Twitter and Instagram. Indeed, several …
action of on-line social media, such as Facebook, Twitter and Instagram. Indeed, several …
[HTML][HTML] Sentiment analysis on IMDB using lexicon and neural networks
Z Shaukat, AA Zulfiqar, C Xiao, M Azeem… - SN Applied Sciences, 2020 - Springer
To find out what other people think has been an essential part of information-gathering
behaviors. And in the case of movies, the movie reviews can provide an intricate insight into …
behaviors. And in the case of movies, the movie reviews can provide an intricate insight into …
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 …
sociology, psychology, economics, linguistics, and computer science. A number of excellent …
Text sentiment classification of Amazon reviews using word embeddings and convolutional neural networks
M Qorich, R El Ouazzani - The Journal of Supercomputing, 2023 - Springer
Nowadays, the internet and social media ease the process of reviewing products.
Consumers expose their thoughts, opinions, and experiences about products and services …
Consumers expose their thoughts, opinions, and experiences about products and services …
Feature-based opinion mining in financial news: an ontology-driven approach
MP Salas-Zárate, R Valencia-García… - Journal of …, 2017 - journals.sagepub.com
Financial news plays a significant role with regard to predicting the behaviour of financial
markets. However, the exponential growth of financial news on the Web has led to a need …
markets. However, the exponential growth of financial news on the Web has led to a need …
Deep learning approach for negation handling in sentiment analysis
PK Singh, S Paul - IEEE Access, 2021 - ieeexplore.ieee.org
Negation handling is an important sub-task in Sentiment Analysis. Negation plays a
significant role in written text. Negation terms in sentence often changes the polarity of entire …
significant role in written text. Negation terms in sentence often changes the polarity of entire …