Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis

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

Библиографические подробности
Главные авторы:	Shourin, Bushra, Shawgat, Kazi Sayef, Chowdhury, Serajur Reza
Другие авторы:	Arif, Hossain
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2018
Предметы:	Opinion Sentiment analysis Facebook Facebook graph API Naïve bayes classifier
Online-ссылка:	http://hdl.handle.net/10361/10124

Схожие документы

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

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
по: Sarkar, Ripa, и др.
Опубликовано: (2024)

Facebook : utopia, dystopia or heterotopia
по: Zaman, Tabassum
Опубликовано: (2016)

Use of Facebook and its impact on the university students in Dhaka: an exploratory analysis
по: Kim, Jeongki
Опубликовано: (2019)

Assistive Guideline of Categorization for Competitive Programming Problems
по: Dhrubo, Najmus Sakib, и др.
Опубликовано: (2021)

Consumer perception on Free Basic App: an empirical study on consumer perception on providing basic internet services to the non-internet users by Facebook
по: Ahmed, Alauddin
Опубликовано: (2017)

Sentiment analysis for Bengali newspaper headlines
по: Hossain, Mohammad Samman, и др.
Опубликовано: (2017)

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

Revisiting innovations in ELT through online classes: an evaluation of the approaches of 10 minute school
по: Shahed, Faheem Hasan, и др.
Опубликовано: (2019)

Recognizing sentimental emotions in text by using Machine Learning
по: Bushra, Tabassum Khan, и др.
Опубликовано: (2023)

Investigating the impact of facebook on developing English language proficiency at the tertiary level students in Bangladesh
по: Rahman, Maliha
Опубликовано: (2019)

Effectiveness of Facebook advertising for marketing promotions and its influence on consumer
по: Ahona, Annan Masum
Опубликовано: (2024)

Analyzing the effectiveness of Facebook and Instagram marketing in digital marketing, scope of conversion and its impact in Bangladesh
по: Real, Faijul Haque
Опубликовано: (2022)

Predicting subject area interest of a student using naive bayes
по: Hossain, Shakib
Опубликовано: (2016)

The discourse analysis of Facebook and its impact on language learning: a study
по: Sen, Nobanita
Опубликовано: (2017)

Dependence on social media in the Bangladesh market industry
по: Islam, Shayanton
Опубликовано: (2022)

The future marketing aspect of Facebook in Bangladesh
по: Ansary, Asif
Опубликовано: (2022)

Analysis on the effects of wallstreetbets on the stock market
по: Hossain, Abir, и др.
Опубликовано: (2022)

Aspect-based sentiment analysis using SemEval and Amazon datasets
по: Hasib, Tamanna, и др.
Опубликовано: (2018)

Analyzing area-wise air pollution level using machine learning for a better future
по: Sihan, Sk. Atik Tajwar, и др.
Опубликовано: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
по: Alam, Auninda, и др.
Опубликовано: (2021)

Sentiment analysis on mobile operators’ customer review
по: Hossain, Mohammed Mohibul, и др.
Опубликовано: (2020)

Amazon product reviews sentiment analysis using supervised learning algorithms
по: Hawladar, Mohibullah, и др.
Опубликовано: (2021)

Identification of childhood leukemia using deep learning
по: Tultul, Farana Naz
Опубликовано: (2018)

Facebook ads have a greater hold on digital marketing of Bangladesh- an observational study on wavemaker Bangladesh
по: Roy, Aboni
Опубликовано: (2022)

The penetration of Digital Media in lower middle-class families of Dhaka
по: Islam, Sifat Nur
Опубликовано: (2021)

The role of digital marketing platform ( Facebook, Instagram, Twitter) on the success of Domino’s Pizza Bangladesh
по: Akhter, Khaleda
Опубликовано: (2019)

Facebook: one of the most prominent and effective mass media for consumer promotion in Bangladesh
по: Aziz, Hesamul
Опубликовано: (2018)

Analyzing users’ sentiment towards video games based on reviews from microblog
по: Roy, Abhijeet, и др.
Опубликовано: (2018)

Predicting stock market movement using sentiment analysis of twitter feed
по: Chakraborty, Pranjal, и др.
Опубликовано: (2017)

Facebook as a learning platform: (unheard) voice of Bangladesh
по: Ankhi, Romana Afroz
Опубликовано: (2021)

Facebook ads have a greater hold on digital marketing of Bangladesh: An observational study on Wavemaker Bangladesh
по: Hossain, Md. Shakawat
Опубликовано: (2023)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
по: Rahman, Shaomi, и др.
Опубликовано: (2018)

Movie recommendation using link prediction
по: Dhrubo, Md Alif-uz-zaman, и др.
Опубликовано: (2023)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
по: Islam, Shadman, и др.
Опубликовано: (2020)

Facebook marketing : designing your next marketing campaign /
по: Levy, Justin R. (Justin Robert)
Опубликовано: (2010)

An approach to detect epileptic seizure using XAI and machine learning
по: Bijoy, Emam Hasan, и др.
Опубликовано: (2022)

Microblog sentiment analysis for rating TV shows
по: Abdullah, Ashik
Опубликовано: (2017)

Parking data analysis
по: Ahamed, Kasfi, и др.
Опубликовано: (2023)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
по: Symum, Md Abdullah Al, и др.
Опубликовано: (2023)