The Sentence Level Sentiment Analysis of Cyber Trolling Tweets Using Machine Learning Technique

W Sharif, M Ashraf, A Shifa, M Shahid… - Journal of Computing & …, 2024 - jcbi.org
People are utilizing the networking site Twitter not only for social interaction but also to
express their opinions, thoughts, news, and personal information in the form of text, videos …

Semantic Feature Extraction-Based Twitter Sentiment Analysis Using Atom Search Optimizer and Ensemble Classifier

RA Reddy, J Rekha, M Shirisha… - 2023 International …, 2023 - ieeexplore.ieee.org
In modern days, a computer-based technique called natural language processing (NLP) is
used to process spoken and written natural language data that is specific to human culture …

[PDF][PDF] Hybrid CNN Classification for Sentiment Analysis under Deep Learning

DC Daniel, L Shyamala - academia.edu
Sentiment Analysis (SA) is a popular field in Natural Language Processing (NLP) which
focuses on the human emotions by analyzing the lexical and syntactic features. This paper …

Sentiment Analysis Using Multinomial LR-LSTM Model

S Rani, J Boora, S Kumar, Y Chaba, S Godara… - 2023 - researchsquare.com
Sentiment analysis (SA) refers to a technique utilized to ascertain the emotional state
conveyed in information or text. It involves categorizing the text into three classes: positive …

Sentimental Analysis of CyberbullyingTweets with SVM Technique

H Thanikonda, KS Koneti - 2023 - diva-portal.org
Background: Cyberbullying involves the use of digital technologies to harass, humiliate, or
threaten individuals or groups. This form of bullying can occur on various platforms such as …

[PDF][PDF] Text preprocessing method on Twitter sentiment analysis using machine learning

J Mahilraj, G Tigistu, S Tumsa - International Journal of Innovative …, 2020 - academia.edu
In real world, twitter sentimental analysis (TSA) acting a major role in observing the public
opinion about customer side. TSA is complex compared to general sentiment analysis due …

Exploration of sentiment analysis in twitter propaganda: a deep dive

P Samuel, BV Krishna - Multimedia Tools and Applications, 2024 - Springer
Twitter boasts 319 million daily active users, making it an invaluable asset for public figures
and businesses looking to cultivate positive public image. Businesses can leverage …

[PDF][PDF] Sentence-Level Granularity Oriented Sentiment Analysis of Social Media Using Long Short-Term Memory (LSTM) and IndoBERTweet Method

NM Azahra, EB Setiawan - J. Ilm. Tek. Elektro Komput. dan Inform, 2023 - eprints.uad.ac.id
The dissemination of information through social media has been rampant, especially on the
Twitter platform. This information eventually invites various opinions from users as their …

[PDF][PDF] A novel ensemble approach for Twitter sentiment classification with ML and LSTM algorithms for real-time tweets analysis

TVS Krishna, TSR Krishna, S Kalime… - Indonesian Journal of …, 2024 - researchgate.net
Social media sentiment classification was an essential consideration in natural language
processing (NLP) for evaluating normal people's perspectives on a given topic. With Twitter's …

[PDF][PDF] Classification of cyberbullying in social media using Natural Language Programming method

P Vivekananth, N Sharma - 2024 - assets-eu.researchsquare.com
The evolution of internet describes the usage of Social Media (SM) which expands
drastically. This involvement continues to increase in context with the current global …