Sentimental analysis of customer product Reviews to understand customer needs using machine learning

Sentimental analysis of customer product Reviews to understand customer needs using machine learning

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

Podrobná bibliografie
Hlavní autoři:	Symum, Md Abdullah Al, Sheemu, Subarna Yeasmin, Asif, Abu Saleh Md., Islam, Konika
Další autoři:	Shakil, Arif
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2023
Témata:	Natural language processing Customer feedback Textual data analysis Sentimental analysis Transformer Sentiment lexicons Word embeddings Machine learning Natural language processing (Computer science)
On-line přístup:	http://hdl.handle.net/10361/21980

Podobné jednotky

Sentiment analysis on mobile operators’ customer review
Autor: Hossain, Mohammed Mohibul, a další
Vydáno: (2020)

Human sentiment analysis using natural language processing
Autor: Shamya, Md. Shamiul Haque Khan, a další
Vydáno: (2024)

Sentiment analysis in Bengali Text using NLP
Autor: Sarkar, Ankon, a další
Vydáno: (2023)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
Autor: Rahman, Shaomi, a další
Vydáno: (2018)

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

A multimodal approach of sentiment analysis to predict customer emotions towards a product
Autor: Islam, Shadman, a další
Vydáno: (2020)

Optimizing restaurant recommendations through sentiment analysis
Autor: Juha, Tasnia, a další
Vydáno: (2024)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
Autor: Deb, Priom, a další
Vydáno: (2024)

Microblog sentiment analysis for rating TV shows
Autor: Abdullah, Ashik
Vydáno: (2017)

Sentiment classification on Bengali food and restaurant reviews
Autor: Hossain, Abid, a další
Vydáno: (2024)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
Autor: Hossain, Md. Ishan Arefin, a další
Vydáno: (2018)

Detecting sarcasm in Bengali comments using NLP
Autor: Chowdhury, Md. Jamiur Rahman
Vydáno: (2024)

Aspect-based sentiment analysis using SemEval and Amazon datasets
Autor: Hasib, Tamanna, a další
Vydáno: (2018)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
Autor: Shourin, Bushra, a další
Vydáno: (2018)

Analyzing users’ sentiment towards video games based on reviews from microblog
Autor: Roy, Abhijeet, a další
Vydáno: (2018)

Sentiment analysis for Bengali newspaper headlines
Autor: Hossain, Mohammad Samman, a další
Vydáno: (2017)

Comparative study of toxic comments classification using machine learning algorithms
Autor: Razzak, Razia, a další
Vydáno: (2021)

Social media sentiment study on COVID-19 outbreak
Autor: Karmaker, Anik, a další
Vydáno: (2021)

BWN- A software platform for developing Bengali wordnet
Autor: Khan, Mumit, a další
Vydáno: (2010)

Research report on Bengla tagged lexicon
Autor: Hayder, Kamrul, a další
Vydáno: (2010)

Amazon product reviews sentiment analysis using supervised learning algorithms
Autor: Hawladar, Mohibullah, a další
Vydáno: (2021)

Product rating generation based on public opinion using sentiment analysis
Autor: Rabbi, Reshan Ahmed, a další
Vydáno: (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
Autor: Shruti, Abanti Chakraborty
Vydáno: (2024)

A rule based approach for implementation of bangla to english translation
Autor: Rahman, Md. Khalilur, a další
Vydáno: (2017)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
Autor: Kafi, Abdullahil, a další
Vydáno: (2018)

Virtual teaching assistant for undergraduate students using natural language processing & deep learning
Autor: Sakib, Sadman Jashim, a další
Vydáno: (2023)

Research report on Bengla lexicon
Autor: Hayder, Kamrul
Vydáno: (2010)

Screencast feedback versus textual feedback in L2 writing: an experimental study on IELTS writing task 2 responses in the Bangladeshi context
Autor: Neon, Muhaiminul Islam
Vydáno: (2023)

Market demand analysis using NLP in Bangla language
Autor: Hossain, Md Sabbir, a další
Vydáno: (2022)

Sentimental analysis on political speeches
Autor: Atiq, Asif, a další
Vydáno: (2022)

Performing sentiment analysis in Bangla microblog posts
Autor: Chowdhury, Shaika, a další
Vydáno: (2017)

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

A framework for sentiment analysis: a data-driven approach
Autor: Islam, Md. Jahedul, a další
Vydáno: (2021)

TikNep: content analysis of Nepali TikTok users using natural language processing
Autor: Dhakal, Aakar, a další
Vydáno: (2024)

Share market forecasting with LSTM neural network and sentimental trend prediction
Autor: Rony, Ismail Hossain, a další
Vydáno: (2020)

Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
Autor: Joaa, A.F.M. Mohimenul
Vydáno: (2024)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
Autor: Maliha, Miftahul Zannat, a další
Vydáno: (2023)

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

Bang-lish sentiment classification using deep learning
Autor: Saleheen, Abrar, a další
Vydáno: (2023)

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