Aspect based opinion mining on restaurant reviews

Aspect based opinion mining on restaurant reviews

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliographic Details
Main Authors:	Tonmoy, Sazid Hasan, Ahmed, Faiyaj Bin, Sarkar, Madhurjya, Bashar, Mehejabin Binta, Ahmed, Rafi
Other Authors:	Sadeque, Farig Yousuf
Format:	Thesis
Language:	English
Published:	Brac University 2024
Subjects:	Opinion mining Aspect extraction Support vector machine Deep learning Customer feedback Data mining Machine learning
Online Access:	http://hdl.handle.net/10361/23516

Similar Items

A machine learning approach to detect depression and anxiety using supervised learning
by: Ullas, Md Tahmidur Rahman, et al.
Published: (2019)

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

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
by: Ahmed, Sajjad
Published: (2019)

Detection of fake identities on twitter using supervised machine learning
by: Rahman, MD. Takiur, et al.
Published: (2019)

Gene classification and pattern analysis using data mining and machine learning techniques
by: Ramisa, Aiman Jabeen, et al.
Published: (2021)

Automate crime news segmentation, knowledge-based generation and public opinion mining for social awareness
by: Sabit, Ahmed Bin, et al.
Published: (2021)

Predicting depression in Bangladeshi undergraduates using machine learning
by: Choudhury, Ahnaf Atef, et al.
Published: (2019)

Aspect-based sentiment analysis using SemEval and Amazon datasets
by: Hasib, Tamanna, et al.
Published: (2018)

Detection of handwritten text using convolutional neural network
by: Jasim, Rabib Bin, et al.
Published: (2024)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
by: Ahmed, Md. Sabbir, et al.
Published: (2021)

An implementation and analysis of deep learning models for the detection of wheat diseases
by: Zubair, Ahmad, et al.
Published: (2024)

Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
by: Hussain, Nadib, et al.
Published: (2018)

Data analysis on the Bangladesh share market using Machine-Learning
by: Sadman, Syed Hassan, et al.
Published: (2021)

Amazon product reviews sentiment analysis using supervised learning algorithms
by: Hawladar, Mohibullah, et al.
Published: (2021)

Support vector machines: theory and applications /
Published: (2005)

An introduction to support vector machines : and other kernel-based learning methods /
by: Cristianini, Nello
Published: (2000)

Predicting stock market movement using sentiment analysis of twitter feed
by: Chakraborty, Pranjal, et al.
Published: (2017)

A machine learning approach to credit default prediction and Individual credit scoring
by: Rahman, Md. Jaber, et al.
Published: (2018)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
by: Sakib, Hasibul, et al.
Published: (2024)

An efficient deep learning approach to classify white blood cells
by: Turja, Afif Ibna Kadir Khan, et al.
Published: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
by: Turjo, Aquib Abtahi, et al.
Published: (2021)

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
by: Tasnim, Nishat, et al.
Published: (2019)

Application of machine learning techniques on the context of livestock analysis
by: Islam, Md. Shajedul, et al.
Published: (2018)

Detecting propagandistic poster title: a machine learning approach
by: Mahmood, Riaz, et al.
Published: (2024)

A hybrid rumor detection model derived from a comparative study of supervised approaches
by: Aothoi, Mehzabin Sadat, et al.
Published: (2023)

Credit card fraud detection using machine learning techniques
by: Kabir, Tasmia, et al.
Published: (2021)

An effective machine learning approach for sentiment analysis of restaurant reviews
by: Karim, Rabita
Published: (2018)

Performance analysis of machine learning classi ers for detecting PE malware
by: Azmee, ABM.Adnan, et al.
Published: (2020)

Stock price prediction
by: Das, Kaushik, et al.
Published: (2023)

A framework for sentiment analysis: a data-driven approach
by: Islam, Md. Jahedul, et al.
Published: (2021)

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

Approaching (almost) any Machine learning problem /
by: Thakur, Abhishek
Published: (2020)

Predicting criminal activities analyzing video signal using machine learning
by: Sadman, Syed Md., et al.
Published: (2021)

Classi cation of magnetic configurations using machine learning algorithms
by: Bokul, Saffat, et al.
Published: (2019)

Analysing Facebook user risk using machine learning algorithm
by: Barua, Arnab, et al.
Published: (2021)

Medical image reader powered by artificial intelligence
by: Palok, Tanvir Ahmed, et al.
Published: (2024)

Bangla text classification using machine learning and deep learning techniques
by: Salehin, Kamrus, et al.
Published: (2021)

Travel time prediction using machine learning and weather impact on traffic conditions
by: Deb, Bilash, et al.
Published: (2018)

Supervising vehicle using pattern recognition
by: Lushan, Mihodi Hasan, et al.
Published: (2018)

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
by: Ahmed, Shuvro, et al.
Published: (2023)