[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges

QA Xu, V Chang, C Jayne - Decision Analytics Journal, 2022 - Elsevier
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

NAM Razali, NA Malizan, NA Hasbullah, M Wook… - Journal of big …, 2021 - Springer
Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

[PDF][PDF] Naive-Bayes family for sentiment analysis during COVID-19 pandemic and classification tweets

MB Ressan, RF Hassan - Indonesian Journal of Electrical …, 2022 - researchgate.net
This paper proposes a system to analyze the sentiments of tweeters. It is to build an accurate
model to detect different emotions in a tweet. The analysis takes place through several …

[PDF][PDF] Multi-Class Sentiment Analysis of Social Media Data with Machine Learning Algorithms.

G Mutanov, V Karyukin… - Computers, Materials & …, 2021 - cdn.techscience.cn
The volume of social media data on the Internet is constantly growing. This has created a
substantial research field for data analysts. The diversity of articles, posts, and comments on …

[PDF][PDF] Sentiment analysis of twitter posts related to the covid-19 vaccines

NN Alabid, ZD Katheeth - Indonesian Journal of Electrical …, 2021 - academia.edu
A real threat to the people of the world has appeared as a result of the spread of the
Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support …

[PDF][PDF] Vader Lexicon and Support Vector Machine Algorithm to Detect Customer Sentiment Orientation.

V Nurcahyawati, Z Mustaffa - Journal of Information Systems …, 2023 - e-journal.unair.ac.id
Background: The concept of customer orientation, which is based on a set of fundamental
beliefs that prioritize the interests of the customer, requires companies to detect these …

Political Arabic articles classification based on machine learning and hybrid vector

DH Abd, AT Sadiq, AR Abbas - 2020 5th International …, 2020 - ieeexplore.ieee.org
Recently, there was substantial growth in the opinion data and the number of weblogs in the
world wide web (WWW). The capability for automatically determining an article's political …

Arabic Text Detection Using Rough Set Theory: Designing a Novel Approach

AA Ahmed, MK Hasan, MM Jaber, SM Al-Ghuribi… - IEEE …, 2023 - ieeexplore.ieee.org
The linguistics related research and particularly, sentiment analysis using data-driven
approaches, has been growing in recent years. However, the large number of users and …

A multi domains short message sentiment classification using hybrid neural network architecture

D Munandar, AF Rozie, A Arisal - Bulletin of Electrical Engineering and …, 2021 - beei.org
Sentiment analysis of short texts is challenging because of its limited context of information.
It becomes more challenging to be done on limited resource language like Bahasa …

Sentiment analysis of political post classification based on XGBoost

AA Nsaif, DH Abd - Proceedings of International Conference on Computing …, 2022 - Springer
The number of Websites and the volume of posts published on the Internet have increased
dramatically in recent years. The ability to automatically assess the political polarity of a post …