Subjectivity analysis using machine learning algorithm

Subjectivity analysis using machine learning algorithm

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

Bibliografske podrobnosti
Main Authors:	Ahmed, Erfan, Azad, Muhitun, Islam, Md. Tanzim, Sazzad, Md. Asad Uzzaman
Drugi avtorji:	Ali, Dr. Md. Haider
Format:	Thesis
Jezik:	English
Izdano:	BRAC University 2017
Teme:	Machine learning algorithm Rotten tomato SVM Subjectivity analysis
Online dostop:	http://hdl.handle.net/10361/7624

Podobne knjige/članki

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

Genetic algorithms in search, optimization, and machine learning /
od: Goldberg, David E. (David Edward), 1953-
Izdano: (1989)

Cardiovascular disease prediction model using Machine Learning Algorithm
od: Arefin Mirdha, MD Shamsul
Izdano: (2023)

Finding suitable locations for live campaigns using different machine learning techniques
od: Qudar, Mohiuddin Md. Abdul, et al.
Izdano: (2018)

Accuracy of data analysis on university student's major subject and job sector prediction using KNN and decision tree algorithm
od: Ahmed, Istear, et al.
Izdano: (2023)

Machine Learning /
od: Mitchell, Tom M. (Tom Michael), 1951-
Izdano: (1997)

Crowd source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, et al.
Izdano: (2018)

Smart biomedical device to predict lung diseases, COVID-19 and diabetes by using machine learning algorithms
od: Hossain, Ashraful, et al.
Izdano: (2024)

Prediction of coronary heart diseases using supervised machine learning algorithms
od: Salam, Nazia Binte, et al.
Izdano: (2023)

Predictive maintenance of HVAC system using supervised machine learning algorithms
od: Fahim, Md. Zubayer Ahmed, et al.
Izdano: (2021)

Heart disease prediction using machine learning algorithms
od: Ali, Musfiq, et al.
Izdano: (2019)

A machine learning approach to predict movie box-office success
od: Quader, Nahid, et al.
Izdano: (2018)

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

Foundations of machine learning /
od: Mohri, Mehryar, et al.
Izdano: (2018)

Transgenic tomato (Solanum lycopersicum Mill.) regeneration by comparing different transformation techniques
od: Datta, Anamika
Izdano: (2015)

Comparative analysis between machine learning algorithms in efficiency of Coronary Heart Disease (CHD) prediction
od: Oishi, Fayza Rezwana, et al.
Izdano: (2020)

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

Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
od: Saleque, Shahriar, et al.
Izdano: (2021)

Use of machine learning and IoT for monitoring and tracking of livestock
od: Aunindita, Rudaba Farhin, et al.
Izdano: (2023)

Crowed source based traffic analysis using machine learning algorithm
od: Orthy, Marzia Khan, et al.
Izdano: (2017)

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

What is relevant in a text document a machine learning based approach
od: Mahmud, Abdullah Al, et al.
Izdano: (2021)

Analysis of the impact of online education using EEG signals and machine learning algorithms
od: Hoque, Ehsanul, et al.
Izdano: (2021)

In planta transformation of three Bangladeshi tomato varieties with a vacuolar antiporter
od: Rahman, Md. Mubassir
Izdano: (2017)

Understanding machine learning : from theory to algorithms /
od: Shalev-Shwartz, Shai
Izdano: (2014)

Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
od: Karim, Rezwanul, et al.
Izdano: (2019)

Document template identification and data extraction using machine learning and deep learning approach
od: Roy, Kaushik, et al.
Izdano: (2024)

Alumni opportunities using machine learning
od: Siaum, Arshif Sharlimin, et al.
Izdano: (2019)

Handwritten character recognition and prediction of age, gender and handedness using machine learning
od: Al Emran, Md., et al.
Izdano: (2018)

Text classification using machine learning algorithms
od: Hasnat, Fahim, et al.
Izdano: (2018)

Anomaly detection In IoT using machine learning algorithms
od: Arko, Aritro Roy, et al.
Izdano: (2019)

Detection of early stages of Parkinson's disease by analyzing fMRI data and machine learning approaches
od: Neehal, Ahmed Hasin, et al.
Izdano: (2020)

Public vehicle ETA system using machine learning
od: Kabir, Md. Miraz, et al.
Izdano: (2018)

Establishment of in vitro regeneration and transformation protocol to develop salinity stress tolerant tomato (Lycopersicon esculentum Miller)
od: Ferdous, Manzur -E- Mohsina
Izdano: (2018)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
od: Imam, Saif
Izdano: (2021)

Speech emotion detection using supervised, unsupervised and feature selection algorithms
od: Rifat, Abu Nuraiya Mahfuza Yesmin, et al.
Izdano: (2019)

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

Squad selection for cricket team using machine learning algorithms
od: Malek, Meraj-Bin-, et al.
Izdano: (2019)

Identifying Bangla deceptive news using machine learning and deep learning algorithms
od: Piyal, Anindya Roy, et al.
Izdano: (2023)

A machine learning approach on classifying orthopedic patients based on their biomechanical features
od: Hasan, Kamrul, et al.
Izdano: (2018)