Sentiment analysis in low-resource settings: a comprehensive review of approaches, languages, and data sources

A Yusuf, A Sarlan, KU Danyaro, ASBA Rahman… - IEEE …, 2024 - ieeexplore.ieee.org
The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

Do language models enjoy their own stories? prompting large language models for automatic story evaluation

C Chhun, FM Suchanek, C Clavel - Transactions of the Association …, 2024 - direct.mit.edu
Storytelling is an integral part of human experience and plays a crucial role in social
interactions. Thus, Automatic Story Evaluation (ASE) and Generation (ASG) could benefit …

Innovative forward fusion feature selection algorithm for sentiment analysis using supervised classification

AM Mostafa, M Aljasir, M Alruily, A Alsayat, M Ezz - Applied Sciences, 2023 - mdpi.com
Sentiment analysis is considered one of the significant trends of the recent few years. Due to
the high importance and increasing use of social media and electronic services, the need for …

Sentiment analysis of reviews in natural language: Roman Urdu as a case study

MA Qureshi, M Asif, MF Hassan, A Abid, A Kamal… - Ieee …, 2022 - ieeexplore.ieee.org
Opinion Mining from user reviews is an emerging field. Sentiment Analysis of Natural
Language text helps us in finding the opinion of the customers. These reviews can be in any …

[PDF][PDF] Enhancing the Prediction of User Satisfaction with Metaverse Service Through Machine Learning.

SH Lee, H Lee, JH Kim - Computers, Materials & Continua, 2022 - researchgate.net
Metaverse is one of the main technologies in the daily lives of several people, such as
education, tour systems, and mobile application services. Particularly, the number of users of …

Enhancing big social media data quality for use in short-text topic modeling

BAH Murshed, J Abawajy, S Mallappa, MAN Saif… - Ieee …, 2022 - ieeexplore.ieee.org
With the emergence of microblogging platforms and social media applications, large
amounts of user-generated data in the form of comments, reviews, and brief text messages …

[PDF][PDF] Aspect Level Songs Rating Based Upon Reviews in English.

MA Qureshi, M Asif, S Anwar, U Shaukat… - … , Materials & Continua, 2023 - academia.edu
With the advancements in internet facilities, people are more inclined towards the use of
online services. The service providers shelve their items for e-users. These users post their …

On the development of an information system for monitoring user opinion and its role for the public

V Karyukin, G Mutanov, Z Mamykova, G Nassimova… - Journal of Big Data, 2022 - Springer
Social media services and analytics platforms are rapidly growing. A large number of
various events happen mostly every day, and the role of social media monitoring tools is …

Poster: LLMs for online customer reviews analysis: oracles or tools? Experiments with GPT 3.5

C Morbidoni - Proceedings of the 15th Biannual Conference of the …, 2023 - dl.acm.org
Generative Large Language Models, pre-trained on a huge amount of human authored text,
are showing emergent capabilities in understanding and accomplishing a variety of NLP …

Politikweli: A swahili-english code-switched twitter political misinformation classification dataset

C Amol, L Wanzare, J Obuhuma - International Conference on Speech …, 2023 - Springer
In the age of freedom of speech, users of the various social media platforms post millions of
unverified messages, resulting in misinformation. Despite these platforms' set policies …