An effective machine learning approach for sentiment analysis of restaurant reviews

An effective machine learning approach for sentiment analysis of restaurant reviews

This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.

Chi tiết về thư mục
Tác giả chính:	Karim, Rabita
Tác giả khác:	Uddin, Dr. Jia
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	BARC University 2018
Những chủ đề:	Machine learning Sentiment analysis Opinion analysis Restaurant reviews Gaussian Naive Bayes classifier
Truy cập trực tuyến:	http://hdl.handle.net/10361/9023

Những quyển sách tương tự

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
Bằng: Shourin, Bushra, et al.
Được phát hành: (2018)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
Bằng: Sarkar, Ripa, et al.
Được phát hành: (2024)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
Bằng: Rabbi, Md. Nafis
Được phát hành: (2024)

Recognizing sentimental emotions in text by using Machine Learning
Bằng: Bushra, Tabassum Khan, et al.
Được phát hành: (2023)

Optimizing restaurant recommendations through sentiment analysis
Bằng: Juha, Tasnia, et al.
Được phát hành: (2024)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
Bằng: Alam, Auninda, et al.
Được phát hành: (2021)

What is relevant in a text document a machine learning based approach
Bằng: Mahmud, Abdullah Al, et al.
Được phát hành: (2021)

An approach to detect epileptic seizure using XAI and machine learning
Bằng: Bijoy, Emam Hasan, et al.
Được phát hành: (2022)

Amazon product reviews sentiment analysis using supervised learning algorithms
Bằng: Hawladar, Mohibullah, et al.
Được phát hành: (2021)

Sentiment analysis on Bangladesh airlines review data using machine learning
Bằng: Hasib, Khan Md.
Được phát hành: (2022)

Sentiment analysis on mobile operators’ customer review
Bằng: Hossain, Mohammed Mohibul, et al.
Được phát hành: (2020)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
Bằng: Kafi, Abdullahil, et al.
Được phát hành: (2018)

Sentiment analysis for Bengali newspaper headlines
Bằng: Hossain, Mohammad Samman, et al.
Được phát hành: (2017)

A machine learning approach to predict young voter enthusiasm based on non-political factors
Bằng: Rahman, Md. Nowroz Junaed, et al.
Được phát hành: (2021)

Early grade prediction using profile data
Bằng: Iqbal, Sumaiya, et al.
Được phát hành: (2021)

Fighting depression: psychological approaches among Bangladeshi university students
Bằng: Sen, Sanjib Kumar, et al.
Được phát hành: (2022)

Analysis on the effects of wallstreetbets on the stock market
Bằng: Hossain, Abir, et al.
Được phát hành: (2022)

Text classification using machine learning algorithms
Bằng: Hasnat, Fahim, et al.
Được phát hành: (2018)

The affiliation report on “a study on human resource management practices of the Bay Rose Gourmet Restaurant
Bằng: Ahmed, Saddam
Được phát hành: (2019)

Predicting stock market movement using sentiment analysis of twitter feed
Bằng: Chakraborty, Pranjal, et al.
Được phát hành: (2017)

A framework for sentiment analysis: a data-driven approach
Bằng: Islam, Md. Jahedul, et al.
Được phát hành: (2021)

A feature selection approach to determine obesity using machine learning method
Bằng: Antor, Shahidul Alam, et al.
Được phát hành: (2021)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
Bằng: Mouli, Nazifa, et al.
Được phát hành: (2023)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
Bằng: Maliha, Miftahul Zannat, et al.
Được phát hành: (2023)

A machine learning approach to predict movie box-office success
Bằng: Quader, Nahid, et al.
Được phát hành: (2018)

Estimating flood susceptibility of Bangladesh in the future year using machine learning
Bằng: Alim, Sakib Bin, et al.
Được phát hành: (2021)

Assistive Guideline of Categorization for Competitive Programming Problems
Bằng: Dhrubo, Najmus Sakib, et al.
Được phát hành: (2021)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
Bằng: Chakraborty, Sovon
Được phát hành: (2024)

Analyzing users’ sentiment towards video games based on reviews from microblog
Bằng: Roy, Abhijeet, et al.
Được phát hành: (2018)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
Bằng: Shihab, Ibne Farabi, et al.
Được phát hành: (2018)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
Bằng: Symum, Md Abdullah Al, et al.
Được phát hành: (2023)

Parking data analysis
Bằng: Ahamed, Kasfi, et al.
Được phát hành: (2023)

Predicting subject area interest of a student using naive bayes
Bằng: Hossain, Shakib
Được phát hành: (2016)

Aspect-based sentiment analysis using SemEval and Amazon datasets
Bằng: Hasib, Tamanna, et al.
Được phát hành: (2018)

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
Bằng: Al Amin, Istiak, et al.
Được phát hành: (2022)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
Bằng: Rahman, Shaomi, et al.
Được phát hành: (2018)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
Bằng: Hossain, Md. Ishan Arefin, et al.
Được phát hành: (2018)

Identification of childhood leukemia using deep learning
Bằng: Tultul, Farana Naz
Được phát hành: (2018)

Aspect based opinion mining on restaurant reviews
Bằng: Tonmoy, Sazid Hasan, et al.
Được phát hành: (2024)

Predicting brain age from EEG signals using machine learning and neural network
Bằng: Pratanu, Abul Mushfique Muslah, et al.
Được phát hành: (2023)