Aspect-based sentiment analysis using SemEval and Amazon datasets

Aspect-based sentiment analysis using SemEval and Amazon datasets

This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.

Detalles Bibliográficos
Autores principales:	Hasib, Tamanna, Rahin, Saima Ahmed
Otros Autores:	Mostakim, Moin
Formato:	Tesis
Lenguaje:	English
Publicado:	BRAC University 2018
Materias:	Sentiment analysis SemEval Amazon dataset Dependency parsing Word vectors Opinion mining
Acceso en línea:	http://hdl.handle.net/10361/9542

Ejemplares similares

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

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

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

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

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

Feature unification for morphological parsing in Bangla
por: Dasgupta, Sajib, et al.
Publicado: (2010)

Microblog sentiment analysis for rating TV shows
por: Abdullah, Ashik
Publicado: (2017)

Building a foundation of HPSG-based treebank on Bangla language
por: Mahmud, Altaf, et al.
Publicado: (2010)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
por: Hasan, Anita, et al.
Publicado: (2022)

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

The postwar evolution of development thinking /
por: Oman, Charles
Publicado: (1991)

Dependence relations and the moderating role of trust: implications for behavioral intentions in marketing channels
por: Andaleeb, Syed Saad
Publicado: (2016)

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

Parsing Bangla using LFG: an introduction
por: Haque, Muhammad Nasimul, et al.
Publicado: (2010)

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

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

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

Sentimental analysis on political speeches
por: Atiq, Asif, et al.
Publicado: (2022)

Covering Islam : how the media and the experts determine how we see the rest of the world /
por: Said, Edward W.
Publicado: (1997)

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

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

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

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

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

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

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

SemProM
Publicado: (2013)

Dependency theory revisited
por: Ghosh, B. N.
Publicado: (2019)

An advanced hospital rating system using machine learning and natural language processing
por: Tamjid, Ali Asgar, et al.
Publicado: (2023)

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

Trade Dependency, Bargaining and External Debt.
Publicado: (1988)

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

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

A comparative performance analysis of accident anticipation with deep learning extractors
por: Mostak, Alfi Mashab, et al.
Publicado: (2023)

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

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

The Amazons
por: Mayor

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

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

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