Article · Computación y Sistemas · December 30, 2024
Sentiment Analysis for Religious Tweets
Shahislam Abubakir, Aruzhan Baimbet, Akmaral Kabieva, Bauyrzhan Sarsenov, Aisha Seidilabek, Iskander Akhmetov
Abstract
Sentiment analysis of Twitter data has received a lot of interest and has shown diverse findings. Because of the brief data used in tweets, it draws the opportunity to get information about public opinion by studying Twitter data and automatically identifying its sentiment polarity. The goal of this study was to classify religious Tweets and extract opinion words about a specific religion. In this paper, we used the Valence Aware Dictionary for Sentiment Reasoner (VADER) to categorize tweets containing the phrase “there is religion.” The results indicated that detecting many classes of sentiment analysis was accurate.
More by Iskander Akhmetov
- A Lightweight Extractive Compression Pipeline for Long-Context Retrieval-Augmented GenerationComputación y Sistemas · 2026
- Character N-Gram Features for Kazakh POS Tagging Under Strict OOV EvaluationInternational Conference on Computer Science and Engineering · 2026
- KazakhStopEval: Stop-Word Inventories, Validation Benchmarks, and NLP Evaluation Artifacts for Kazakh Library OCR CollectionsMendeley Data · 2026
- Hierarchical Multi-Agent Extractive Framework for Long-Document Mind Map GenerationComputación y Sistemas · 2026