Amazon product reviews sentiment analysis using supervised learning algorithms
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Main Authors: | Hawladar, Mohibullah, Ghosh, Arjan, Raad, Zaoyad Khan, Chowdhury, Wali Ahad, Shehan, Md Sazzad Hossain |
---|---|
Andre forfattere: | Ashraf, Faisal Bin |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2021
|
Fag: | |
Online adgang: | http://hdl.handle.net/10361/14970 |
Lignende værker
-
Aspect-based sentiment analysis using SemEval and Amazon datasets
af: Hasib, Tamanna, et al.
Udgivet: (2018) -
Sentiment analysis for Bengali newspaper headlines
af: Hossain, Mohammad Samman, et al.
Udgivet: (2017) -
Sentiment analysis on mobile operators’ customer review
af: Hossain, Mohammed Mohibul, et al.
Udgivet: (2020) -
Predicting stock market movement using sentiment analysis of twitter feed
af: Chakraborty, Pranjal, et al.
Udgivet: (2017) -
An effective machine learning approach for sentiment analysis of restaurant reviews
af: Karim, Rabita
Udgivet: (2018)