[HTML][HTML] Framework for improved sentiment analysis via random minority oversampling for user tweet review classification

SN Almuayqil, M Humayun, NZ Jhanjhi, MF Almufareh… - Electronics, 2022 - mdpi.com
Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …

Imbalanced twitter sentiment analysis using minority oversampling

K Ghosh, A Banerjee, S Chatterjee… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Micro-Blogging platforms have become one of the popular medium which reflects
opinion/sentiment of social events and entities. Machine learning based sentiment analyses …

[PDF][PDF] Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis.

M Humayun, D Javed, N Jhanjhi… - … Systems Science & …, 2023 - cdn.techscience.cn
Twitter has emerged as a platform that produces new data every day through its users which
can be utilized for various purposes. People express their unique ideas and views on …

[HTML][HTML] Enhancing sentiment analysis via random majority under-sampling with reduced time complexity for classifying tweet reviews

SN Almuayqil, M Humayun, NZ Jhanjhi, MF Almufareh… - Electronics, 2022 - mdpi.com
Twitter has become a unique platform for social interaction from people all around the world,
leading to an extensive amount of knowledge that can be used for various reasons. People …

Twitter sentiment analysis using an ensemble weighted majority vote classifier

RHH Aziz, N Dimililer - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Sentiment analysis extracts the emotions expressed in text and has been employed in many
fields including politics, elections, movies, retail businesses and in recent years microblogs …

Comparative Study of different Machine Learning Algorithms to Analyze Sentiments with a Case Study of Two Person's Microblogs on Twitter

A Kumar, PL Bhari, UP Singh, V Saxena - Proceedings of the 4th …, 2022 - dl.acm.org
In recent years, social media has become a powerful tool for individuals to express their
opinions and attitudes. Twitter, a microblogging platform, has emerged as a prominent …

[PDF][PDF] Survey of tools and techniques for sentiment analysis of social networking data

S Rani, NS Gill, P Gulia - … journal of Advanced computer Science and …, 2021 - academia.edu
Social media has rapidly expanded over a period of time and generated a huge repository of
content. Sentiment analysis of this data has a vast scope in decision support and attracted …

Sentimlbench: Benchmark evaluation of machine learning algorithms for sentiment analysis

AV Yenkikar, CN Babu - Indonesian Journal of Electrical …, 2023 - section.iaesonline.com
Sentiment Analysis has been a topic of interest for researchers due to its increasing usage
by Industry. To measure end-user sentiment., there is no clear verdict on which algorithms …

[HTML][HTML] A reliable sentiment analysis for classification of tweets in social networks

M AminiMotlagh, HS Shahhoseini, N Fatehi - Social network analysis and …, 2022 - Springer
In modern society, the use of social networks is more than ever and they have become the
most popular medium for daily communications. Twitter is a social network where users are …

[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 …