Opinion mining on newspaper headlines regarding the US elections using NLP, SVM and Deep Learning

Gandam Suresh, Kailash (2024) Opinion mining on newspaper headlines regarding the US elections using NLP, SVM and Deep Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

This research investigates sentiment analysis on newspaper headlines concerning the 2024 U.S. Presidential Election using Natural Language Processing (NLP),Support Vector Machine(SVM). Multiple researches have been done in opinion mining for online blogs, Twitter, Facebook etc. using the public social media platforms but in this paper we are focused towards the headlines which first attracts the consumer to further read the content. The primary objective of the research is to predict the public sentiment and its potential influence on electoral outcomes by analyzing the important headlines from major news outlets. The study initially utilized Support Vector Machines (SVM) with TF-IDF vectorization with the further refinement was undertaken by incorporating Word2Vec embeddings with an improved accuracy.

To enhance performance and to understand the small nuances in the findings advanced transformers like BERT and RoBERTa were explored, leveraging their pretrained architectures for fine-grained sentiment classification. Despite the moderate gains with using the transformers, the results highlighted the inherent challenges of sentiment classification in nuanced, politically charged content. The project focused on the early stages such as feature engineering and preprocessing techniques, such as Named Entity Recognition (NER), to contextualize sentiment further.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Anu UNSPECIFIED
Subjects:	N Fine Arts > NE Print media Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	02 Sep 2025 11:25
Last Modified:	02 Sep 2025 11:25
URI:	https://norma.ncirl.ie/id/eprint/8698

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