Sentimental analysis on political speeches

Sentimental analysis on political speeches

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Библиографические подробности
Главные авторы:	Atiq, Asif, Abeed, Abrar Shahriar, Efat, Azher Ahmed, Momin, Armanul
Другие авторы:	Alam, Md. Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2022
Предметы:	Political speeches Sentiment analysis Context analysis LDA topic modeling Longformer Ensemble learning LDA Algorithm Topic modeling
Online-ссылка:	http://hdl.handle.net/10361/16591

Схожие документы

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
по: Farabe, Abdullah Al, и др.
Опубликовано: (2021)

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

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

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

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

Bang-lish sentiment classification using deep learning
по: Saleheen, Abrar, и др.
Опубликовано: (2023)

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

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

Share market forecasting with LSTM neural network and sentimental trend prediction
по: Rony, Ismail Hossain, и др.
Опубликовано: (2020)

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
по: Hossain, Shah Md. Shakhawath, и др.
Опубликовано: (2024)

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

Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques
по: Rafidul Islam, Sheikh Md, и др.
Опубликовано: (2022)

Speech coding algorithms : foundation and evolution of standardized coders /
по: Chu, Wai C., 1967-
Опубликовано: (2003)

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

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

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
по: Ghose, Swattic, и др.
Опубликовано: (2023)

Collaborative lexicon development for Bangla
по: Pavel, Dewan Shahriar Hossain, и др.
Опубликовано: (2010)

Fundamentals of speech recognition /
по: Rabiner, Lawrence R., 1943-
Опубликовано: (2009)

Bangla speech to text conversion using CMU sphinx
по: Bristy, Israt Jerin, и др.
Опубликовано: (2020)

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

A stylistic analysis of Waiting for Godot
по: Imami, Tajnim
Опубликовано: (2018)

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

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
по: Hassan, Ibne, и др.
Опубликовано: (2023)

Development of annotated Bangla speech corpora
по: Alam, Firoj, и др.
Опубликовано: (2010)

Product rating generation based on public opinion using sentiment analysis
по: Rabbi, Reshan Ahmed, и др.
Опубликовано: (2018)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
по: Kafi, Abdullahil, и др.
Опубликовано: (2018)

Performing sentiment analysis in Bangla microblog posts
по: Chowdhury, Shaika, и др.
Опубликовано: (2017)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
по: Hossain, Md. Ishan Arefin, и др.
Опубликовано: (2018)

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

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
по: Shourin, Bushra, и др.
Опубликовано: (2018)

Optimizing restaurant recommendations through sentiment analysis
по: Juha, Tasnia, и др.
Опубликовано: (2024)

Computer-generated artificial life model: algorithm for hunters hunting preys
по: Haque, Md. Mahbub-Ul, и др.
Опубликовано: (2022)

Quantitative methods for investment analysis /
Опубликовано: (2001)

Systems analysis and modeling : a macro to micro approach with multidisciplinary applications /
по: Boyd, Donald W. (Donald William), 1930-
Опубликовано: (2001)

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

Incorrect F-statistic to test nonhomogeneous hypothesis in bivariate regression analysis
по: Rahman, Mohammad Lutfur
Опубликовано: (2010)

Free speech: creating the ‘Us and Them’ debate
по: Kabir, Nahid Afrose
Опубликовано: (2019)

Classification of Bangladeshi soil texture using convolutional neural network
по: Raj, Hafiz Mohiuddin, и др.
Опубликовано: (2023)

A framework for sentiment analysis: a data-driven approach
по: Islam, Md. Jahedul, и др.
Опубликовано: (2021)

The world's 100 greatest speeches /
Опубликовано: (2016)