NORMA eResearch @NCI Library

Determining the Link Between Consumer Sentiments and Automobile Sales Through Sentiment Analysis

Sharma, Kartik (2023) Determining the Link Between Consumer Sentiments and Automobile Sales Through Sentiment Analysis. Masters thesis, Dublin, National College of Ireland.

[thumbnail of Master of Science]
PDF (Master of Science)
Download (2MB) | Preview
[thumbnail of Configuration manual]
PDF (Configuration manual)
Download (2MB) | Preview


Technology progresses every day, and millions of textual data points are created every second on the internet. Since the world is so interconnected today, people can use various web forums to find reviews of products before purchasing or renting them. Reviews and comments have a significant effect on a person’s purchase decision. Consequently, it is essential for a company to understand its customers’ behavior and attitudes toward its products and services and to use that information in sales, production, and marketing. This study examines how sentiments affect sales in the vehicle industry using the sentiment analysis component of Natural Language Processing (NLP). In the research the time series analysis to compare sales with sentiments is done to understand how both are connected, apart from this the lexical and pragmatic analysis of the reviews from the owners is done to understand their emotions about the vehicles they own. The Logistic Regression, Vader Sentiment Scoring, Roberta and neural network based models were created to predict the sentiments from a text review and the best model was selected based on the various evaluation metrics. Also it was found that the organizations shouldn’t depend only on the ratings to decide whether customer actually liked or disliked the product or the services.

Item Type: Thesis (Masters)
Horn, Christian
Uncontrolled Keywords: Lexical Analysis; Pragmatic Analysis; Vader Sentiment Scoring; Roberta; Time Series Analysis; Natural Language Processing
Subjects: 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
H Social Sciences > HF Commerce > Marketing > Consumer Behaviour
H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Motor Industry
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 25 May 2023 16:46
Last Modified: 25 May 2023 16:46

Actions (login required)

View Item View Item