Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Real neta or digital avatar? Inside the AI-powered campaigning for 2026 assembly polls

As campaigning gathers pace across states, parties like BJP and Congress to regional players such as the DMK, AIADMK and ...
IEEE

Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models

Abstract: The rapid growth of digital content has made sentiment analysis (SA) an essential tool for understanding public sentiment and classifying textual data. Despite significant progress in ...
GitHub

chhornsolita/Sentiment_Analysis_of_Khmer_Text_Using_ML

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
Scientific Research Publishing

Singh, N. and Jaiswal, U.C. (2023) Sentiment Analysis Using Machine Learning. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 12, e26785.

ABSTRACT: This paper discussed the possibility of utilizing a sentiment analysis of online discussions on X platform (which was previously X) as a predictor of cyber defacement attacks. It bridged a ...
IEEE

Sentiment Analysis using Machine Learning

Abstract: Twitter is one of the broadly used social networking structures with greater than 192 million each day lively customers and a 500 million Tweets. Basically, Twitter is reaching a large ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...