Abstract
Sentiment analysis is the progression of detecting positive or negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers. Since customers express their thoughts and feelings more openly than ever before, sentiment analysis is becoming an important tool to monitor and understand that sentiment. Inevitably analyzing customer feedback, such as opinions in survey responses and social media conversations, allows brands to learn what makes customers happy or frustrated, so that they can tailor products and services to meet their customers’ needs. For example, using sentiment analysis to automatically analyze 4,000+ reviews about your product could help you discover if customers are happy about your pricing plans and customer services.
Publication Date
2-28-2021
Document Type
Master's Project
Student Type
Graduate
Degree Name
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research
Advisor
Ioannis Karamitsos
Recommended Citation
Albehandy, Tariq, "Expo 2020 Positive & Negative Sentiment" (2021). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/12220
Campus
RIT Dubai
