Sentiment analysis using Twitter data: a comparative application of lexicon-and machine-learning-based approach

Y Qi, Z Shabrina - Social Network Analysis and Mining, 2023 - Springer
Social media platform such as Twitter provides a space where users share their thoughts
and opinion as well as connect, communicate, and contribute to certain topics using short …

What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020

A Shevtsov, M Oikonomidou, D Antonakaki… - Plos one, 2023 - journals.plos.org
Most studies analyzing political traffic on Social Networks focus on a single platform, while
campaigns and reactions to political events produce interactions across different social …

Online Evaluation Information Cascade and its Impact on Consumer Decision Making: Analyzing Movie Reviews Using Sentiment Corpus (January 2024)

H Tuo - IEEE Access, 2024 - ieeexplore.ieee.org
User-generated content on self-media platforms significantly influences the market. In the
era of Web 2.0, consumers make purchasing decisions based on electronic word-of-mouth …

Sentiment analysis of Twitter data by making use of SVM, Random Forest and Decision Tree algorithm

J Singh, P Tripathi - 2021 10th IEEE International Conference …, 2021 - ieeexplore.ieee.org
Data production over the internet has been increased tremendously because of social
media sites' growth. A significant number of users share their thoughts, images, videos etc …

US presidential election 2020 prediction based on Twitter data using lexicon-based sentiment analysis

DK Nugroho - 2021 11th International Conference on Cloud …, 2021 - ieeexplore.ieee.org
Sentiment analysis is a technique of analyzing public opinion on a problem. The presidential
election in the United States is a hot issue that will affect various aspects of the world. The …

[PDF][PDF] Lexdeep: Hybrid lexicon and deep learning sentiment analysis using Twitter for unemployment-related discussions during covid-19

A Mohamed, ZM Zain, H Shaiba… - … Materials & Continua, 2023 - cdn.techscience.cn
The COVID-19 pandemic has spread globally, resulting in financial instability in many
countries and reductions in the per capita gross domestic product. Sentiment analysis is a …

A comparison of automatic labelling approaches for sentiment analysis

S Biswas, K Young, J Griffith - arXiv preprint arXiv:2211.02976, 2022 - arxiv.org
Labelling a large quantity of social media data for the task of supervised machine learning is
not only time-consuming but also difficult and expensive. On the other hand, the accuracy of …

Text Mining-A Comparative Review of Twitter Sentiments Analysis

S Patil, D Subil, N Nasar, SA Kokatnoor… - Recent Advances in …, 2024 - ingentaconnect.com
Background: Text mining derives information and patterns from textual data. Online social
media platforms, which have recently acquired great interest, generate vast text data about …

Twitter sentiment analysis and emotion detection using NLTK and TextBlob

N Nehal, D Jeet, V Sharma, S Mishra… - 2023 4th …, 2024 - researchonline.gcu.ac.uk
On an average, approximately 7000 tweets are communicated each second and in total it
piles up to around 300 billion tweets every year. Society are free to contribute their opinions …

Twitter sentiment analysis about economic recession in indonesia

FPE Putra, FI Maulana, NM Akbar… - Bulletin of Social …, 2023 - pubs.ascee.org
As one of the most popular social media platforms, Twitter enables users to express their
opinions on diverse concepts, products, and services. Large quantities of data shared as …