Feature based mobile phone rating using sentiment analysis and machine learning approaches

Feature based mobile phone rating using sentiment analysis and machine learning approaches

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Opis bibliograficzny
Główni autorzy:	Kafi, Abdullahil, Alam, Md. Shaikh Ashikul, Hossain, Sayeed Bin, Awal, Siam Bin
Kolejni autorzy:	Arif, Hossain
Format:	Praca dyplomowa
Język:	English
Wydane:	2018
Hasła przedmiotowe:	Mobile phone rating Sentiment analysis Cell phones. Machine learning.
Dostęp online:	http://hdl.handle.net/10361/11034

Podobne zapisy

Effectiveness of digital marketing in the mobile phone industry of Bangladesh
od: Shovon, Muntasir Mamun
Wydane: (2017)

Prevalence of microorganism in cell phone and the behavioral pattern associated with the demographic of Dhaka City (North)
od: Saif, Nasif Bin
Wydane: (2018)

Mobile phone culture in Bangladesh from Robi perspective
od: Mahmud, Razin
Wydane: (2013)

Customers attitude towards pre-ordering mobile phones from online shops in Bangladesh
od: Ahmad, Khaja Bakir
Wydane: (2016)

RouteFinder : real-time optimum vehicle routing using mobile phone network
od: Ahmadullah, Najiba, i wsp.
Wydane: (2014)

Evaluation of 4G technology in mobile phone network in Bangladesh
od: Jannath, Sabrina
Wydane: (2019)

Microblog sentiment analysis for rating TV shows
od: Abdullah, Ashik
Wydane: (2017)

Mobile phone based communication for RIN
od: Shams, Raisa Samit
Wydane: (2017)

Grameen Phone Limited (communications corporate affairs)
od: Ahana, Sumaya Hasan
Wydane: (2019)

Investigating the Effects of Electromagnetic Fields (EMF) emitted by cell phones on human health
od: Zeba, Labiba Tasnim, i wsp.
Wydane: (2024)

Effectiveness of telephone assessment : a study on BRAC Bank Limited
od: Biswas, Shiuli
Wydane: (2015)

Product rating generation based on public opinion using sentiment analysis
od: Rabbi, Reshan Ahmed, i wsp.
Wydane: (2018)

Grameen phone employee service
od: Mustafa, Imteaz Ibne
Wydane: (2010)

Recruitment and selection process of Fair Distribution Ltd.
od: Das, Ishita
Wydane: (2016)

Developing a policy based algorithm for mobile devices to access neighboring Wi-Fi APs in enterprise environment
od: Noor, Riashad, i wsp.
Wydane: (2017)

Factors influencing customer satisfaction in Grameenphone
od: Deepta, Aqib Wassy
Wydane: (2019)

A novel substitute for the meter readers in a resource constrained electricity utility
od: Ahmed, Shahnawaz S., i wsp.
Wydane: (2016)

Android-based smart voting system
od: Mahmood, Tawseef, i wsp.
Wydane: (2016)

Delivering the GOODs’: an empirical evaluation of the efficacy of supply chain sustainability initiatives of Grameenphone Limited
od: Ava, Tasneem Omar
Wydane: (2019)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
od: Rahman, Shaomi, i wsp.
Wydane: (2018)

A fundamental analysis of stock valuation of Grameen Phone Limited and Robi Axiata Limited and recommending investing decisions
od: Mahtab, Juhayer
Wydane: (2024)

3D Visualization of 2D/360° image and navigation in virtual reality through motion processing via smart phone sensors
od: Aurini, Maliha Tasnim, i wsp.
Wydane: (2018)

Learning a language through mobile apps in Bangladeshi context
od: Zohora, Fatema Tuj
Wydane: (2021)

Optimizing restaurant recommendations through sentiment analysis
od: Juha, Tasnia, i wsp.
Wydane: (2024)

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

Sentiment analysis on mobile operators’ customer review
od: Hossain, Mohammed Mohibul, i wsp.
Wydane: (2020)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
od: Islam, Shadman, i wsp.
Wydane: (2020)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
od: Chakraborty, Sovon
Wydane: (2024)

Sentiment analysis for Bengali newspaper headlines
od: Hossain, Mohammad Samman, i wsp.
Wydane: (2017)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
od: Symum, Md Abdullah Al, i wsp.
Wydane: (2023)

Analyzing users’ sentiment towards video games based on reviews from microblog
od: Roy, Abhijeet, i wsp.
Wydane: (2018)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
od: Shruti, Abanti Chakraborty
Wydane: (2024)

Home automation exerting internet of things with child electric exposure precaution system
od: Barua, Sayannha, i wsp.
Wydane: (2024)

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

A framework for sentiment analysis: a data-driven approach
od: Islam, Md. Jahedul, i wsp.
Wydane: (2021)

Amazon product reviews sentiment analysis using supervised learning algorithms
od: Hawladar, Mohibullah, i wsp.
Wydane: (2021)

Sentimental analysis on political speeches
od: Atiq, Asif, i wsp.
Wydane: (2022)

Sentiment analysis on Bangladesh airlines review data using machine learning
od: Hasib, Khan Md.
Wydane: (2022)

Performing sentiment analysis in Bangla microblog posts
od: Chowdhury, Shaika, i wsp.
Wydane: (2017)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
od: Hossain, Md. Ishan Arefin, i wsp.
Wydane: (2018)