Sentiment analysis in e-commerce platforms: A review of current techniques and future directions

H Huang, AA Zavareh, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

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 …

Zero-shot emotion detection for semi-supervised sentiment analysis using sentence transformers and ensemble learning

SG Tesfagergish, J Kapočiūtė-Dzikienė… - Applied Sciences, 2022 - mdpi.com
We live in a digitized era where our daily life depends on using online resources.
Businesses consider the opinions of their customers, while people rely on the …

An attention-based CNN-LSTM model for subjectivity detection in opinion-mining

S Sagnika, BSP Mishra, SK Meher - Neural Computing and Applications, 2021 - Springer
Opinion-mining generally refers to analyzing opinions on various topics available in the form
of text. It is an essential operation of natural language processing since it enables efficient …

Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions

A Alslaity, R Orji - Behaviour & Information Technology, 2024 - Taylor & Francis
Emotion detection and Sentiment analysis techniques are used to understand polarity or
emotions expressed by people in many cases, especially during interactive systems use …

Study and comparision of vectorization techniques used in text classification

D Rani, R Kumar, N Chauhan - 2022 13th International …, 2022 - ieeexplore.ieee.org
Reviews on products and movies play an important role in predicting and formulating
business strategies. Entertainment media, E-commerce, and social media use customers' …

Massively multilingual corpus of sentiment datasets and multi-faceted sentiment classification benchmark

L Augustyniak, S Woźniak, M Gruza… - Advances in …, 2024 - proceedings.neurips.cc
Despite impressive advancements in multilingual corpora collection and model training,
developing large-scale deployments of multilingual models still presents a significant …

Deep learning-based sentiment classification in Amharic using multi-lingual datasets

SG Tesfagergish, R Damaševičius… - Computer science and …, 2023 - epubl.ktu.edu
Abstract [eng] The analysis of emotions expressed in natural language text, also known as
sentiment analysis, is a key application of natural language processing (NLP). It involves …

Development of a multilingual model for machine sentiment analysis in the serbian language

D Draskovic, D Zecevic, B Nikolic - Mathematics, 2022 - mdpi.com
In this research, a method of developing a machine model for sentiment processing in the
Serbian language is presented. The Serbian language, unlike English and other popular …

Analysis of the hikikomori phenomenon–an international infodemiology study of Twitter data in Portuguese

F Correia Lopes, M Pinto da Costa… - BMC public health, 2024 - Springer
Background Hikikomori refers to the extreme isolation of individuals in their own homes,
lasting at least six months. In recent years social isolation has become an important clinical …