Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149132
Title: Development of a classification system on big data set using machine learning techniques
Authors: Tan, Zhi Ler
Keywords: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Tan, Z. L. (2021). Development of a classification system on big data set using machine learning techniques. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149132
Abstract: In this day and age, there are millions of people all around the world who are regular users of online social media platforms like Facebook, Twitter and Reddit. This has resulted in a huge amount of text data to be available online and is a good opportunity to be used to study and analyse sentiments of texts. This project aims to create classification models based on a Twitter dataset to classify Tweets to their sentiment class of either positive, negative, or neutral. 7 different classification models were explored and tuned to obtain accuracies ranging from 55%-70%. A Telegram bot that can output the sentiment of user inputs by using the trained classification models was made. By using Twitter APIs to stream Tweets, a real-time graph was also made which shows sentiment over time of a specified keyword.
URI: https://hdl.handle.net/10356/149132
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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