Microblog sentiment analysis for rating TV shows

Microblog sentiment analysis for rating TV shows

Cataloged from PDF version of thesis report.

Bibliografiske detaljer
Hovedforfatter:	Abdullah, Ashik
Andre forfattere:	Mostakim, Moin
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2017
Fag:	Microblog sentiment Rating TV
Online adgang:	http://hdl.handle.net/10361/8205

Lignende værker

Analyzing users’ sentiment towards video games based on reviews from microblog
af: Roy, Abhijeet, et al.
Udgivet: (2018)

Performing sentiment analysis in Bangla microblog posts
af: Chowdhury, Shaika, et al.
Udgivet: (2017)

Product rating generation based on public opinion using sentiment analysis
af: Rabbi, Reshan Ahmed, et al.
Udgivet: (2018)

Discovering the world of Journalism At Mohona TV
af: Abdul Hai, Abu Ajraf Muhammad
Udgivet: (2019)

Implementing mobile TV services in Bangladesh
af: Zahan, Nusrat
Udgivet: (2014)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
af: Kafi, Abdullahil, et al.
Udgivet: (2018)

Credibility of TV news in a developing country: the case of Bangladesh
af: Andaleeb, Syed Saad, et al.
Udgivet: (2016)

Optimizing restaurant recommendations through sentiment analysis
af: Juha, Tasnia, et al.
Udgivet: (2024)

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

Sentiment analysis for Bangla microblog posts
af: Shaika, Chowdhury, et al.
Udgivet: (2014)

Sentiment analysis on mobile operators’ customer review
af: Hossain, Mohammed Mohibul, et al.
Udgivet: (2020)

Sentiment analysis for Bengali newspaper headlines
af: Hossain, Mohammad Samman, et al.
Udgivet: (2017)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
af: Islam, Shadman, et al.
Udgivet: (2020)

Internship experience as a newsroom editor from international desk of SATV
af: Shariar, Mahir
Udgivet: (2021)

Sentimental analysis on political speeches
af: Atiq, Asif, et al.
Udgivet: (2022)

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

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

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

Elemental image and audio synchronization and transmission technique for glasses-free 3D TV system
af: Khan, Amit Hasan, et al.
Udgivet: (2019)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
af: Hossain, Md. Ishan Arefin, et al.
Udgivet: (2018)

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

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
af: Shourin, Bushra, et al.
Udgivet: (2018)

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

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

Human sentiment analysis using natural language processing
af: Shamya, Md. Shamiul Haque Khan, et al.
Udgivet: (2024)

Chicago TV Horror Movie Shows
af: Yurkiw

Sentiment analysis in Bengali Text using NLP
af: Sarkar, Ankon, et al.
Udgivet: (2023)

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

Impact of channel i as the first digital satellite Bangla channel in the world
af: Ahmed, Farhana
Udgivet: (2024)

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

Share market forecasting with LSTM neural network and sentimental trend prediction
af: Rony, Ismail Hossain, et al.
Udgivet: (2020)

Sentiment classification on Bengali food and restaurant reviews
af: Hossain, Abid, et al.
Udgivet: (2024)

Bang-lish sentiment classification using deep learning
af: Saleheen, Abrar, et al.
Udgivet: (2023)

Additional Evidenceon Ems Interest Rate Linkages /
af: Thornton, John
Udgivet: (1996)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
af: Uddin, S. M. Rageeb Noor, et al.
Udgivet: (2022)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
af: Deb, Priom, et al.
Udgivet: (2024)

Credit rating : operation and effectiveness
af: Islam, Md. Ashraful
Udgivet: (2016)

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

Taka-dollar exchange rate dynamics in relation to federal interest rates and the Bangladesh-USA trade balance: a time series analysis
af: Zaman, Foara
Udgivet: (2024)

Credit rating method of credit rating agency of Bangladesh (CRAB)
af: Nisa, Sifat-E-Monzur
Udgivet: (2015)