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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
media platforms, which have recently acquired great interest, generate vast text data about …
Twitter sentiment analysis and emotion detection using NLTK and TextBlob
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 …
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 …
opinions on diverse concepts, products, and services. Large quantities of data shared as …