Ehsanur Rahman Rhythm

University of Dhaka · Institute of Information Technology

In this study, we conducted sentiment analysis on restaurant reviews from Bangladeshi food delivery apps using natural language processing techniques. Food delivery apps have become increasingly popular in Bangladesh, and understanding the sentiment of customer reviews can provide valuable insights for restaurant owners and food delivery app compan...

For audio or video material to be more inclusive and accessible, automatic subtitle generation is essential. Nevertheless, implementing this technology into Bengali presents significant challenges due to scarce resources and linguistic difficulty. In this study, a new deep learning based system for creating Subtitles for Bengali multimedia automati...

In the age of information overload, where the world is getting increasingly digital, traditional methods of learning are becoming tedious and extensively outdated. Imagine a system with just a few clicks that can quickly generate perplexing questions and enlightening solutions from a given text. Likewise, this paper represents a groundbreaking syst...

Sarcasm, a sort of sentiment characterized by a disparity between the apparent and intended meanings of the text, is a key component of sentiment analysis, opinion extraction, and social media analytics. However, sarcasm detection in Bangla has not received sufficient research attention yet. Moreover, there hasn’t been a significant amount of study...

Optical Character Recognition (OCR) systems are very powerful tools that are used to convert handwritten texts or digital data on an image to machine readable texts. The importance of Optical Character Recognition for handwritten documents cannot be overstated due to its widespread use in human transactions. OCR technology allows for the conversion...

The heart of any substantial search engine is a crawler. A crawler is a program that collects web pages by following links from one web page to the next. Due to our complete dependence on search engines for finding information and insights into every aspect of human endeavors, from finding cat videos to the deep mysteries of the universe, we tend t...

Data pre-processing, data analysis, and Optical Character Recognition need a huge amount of clean data, and document images are usually a good source for this. However, document images frequently exhibit blurring and various other forms of noise, which can pose challenges in their manipulation and analysis. To denoise and deblur such document image...

Handwritten signature verification is a crucial task with applications spanning authentication, financial transactions, and legal documents. In scenarios where only a single reference signature is available, the challenge of accurate verification becomes pronounced due to variations in writing styles, distortions, and limited labeled data. In this...

Visual Question Answering (VQA) is a field where computer vision and natural language processing intersect to develop systems capable of comprehending visual information and answering natural language questions. In visual question answering , algorithms interpret real-world images in response to questions expressed in human language. Our paper pres...

The aviation industry’s immense expansion is having an impact on global warming and has resulted in some significant environmental issues. When an airplane passes directly over them, tiny crisscross patterns, often known as contrails, may be visible. They are to blame for this effect. Contrails are really just airborne particles that have been comp...

Bengali literature, specifically classical Bengali literature has been a source of inspiration, a spark for paradigm-shifting revolutions, and the sole sustaining source of cultural thirst for hundreds of millions of people over many generations. Unfortunately, very few attempts have been made to analyze this never-ending collection of literary wor...

Analysis of public sentiment is extremely useful for comprehending the responses of the general public during important events, and the FIFA World Cup 2022 was no exception. Within the scope of this study, we used deep learning models such as roBERTa, distilBERT, and XLNet to conduct an analysis of the views that were stated on Twitter during the f...

Cutaneous abnormalities, commonly known as skin lesions, form a broad spectrum of skin irregularities that necessitates proper identification and immediate treatment. A significant development in the utilization of machine learning approaches for analyzing medical imagery has been observed recently - particularly its effectiveness in the automatic...

Reviews can significantly impact a company’s reputation in the market, potentially influencing its overall business outcomes, either positively or negatively. This is especially crucial for companies that operate primarily through e-commerce platforms. Hence, it is vital for companies to pay close attention to customer reviews. Sentiment Analysis,...

The increase of misogyny across social media platforms highlights the urgent need to create efficient tools for recognizing and responding to gender-based online abuse. This study explores the complex problem of identifying instances of sexism in the Bengali language, a field that has a limited amount of research conducted due to a lack of financia...

Natural Language Processing (NLP) is a piqued interest field nowadays, as it helps AI to understand and interpret human languages. In order to facilitate the advancement in this field, in this paper, we propose research on the detection of derogatory comments against women with the help of transformer-based models. Here, our main focus is to detect...

A computer programme that imitates and processes human interaction, either through the use of voice or text communication, is known as a chatbot. Its purpose is to be of assistance in the process of finding a solution to a problem. The transformation brought on by advances in technology has had an effect on every industry. The chatbot provides assi...

Social media plays a vital role in our daily lives. To understand and interpret emotions and opinions expressed on social media platforms, analyzing sentiment is very important. Our study is based on Twitter sentiment analysis. Our aim is to classify tweets automatically as positive, negative, or neutral based on their content using natural languag...

The dataset "Bangladeshi Restaurant Reviews" is a collection of customer reviews for restaurants in Bangladesh that are available on Foodpanda and Hungrynaki, two major food delivery apps in the country. The reviews were collected to provide insights into the satisfaction levels of customers with the food and service of these restaurants. The datas...

This paper explores the application of distributed computing systems for the processing and analysis of large data sets, also referred to as big data. The paper outlines the various challenges that can arise when working with big data, including issues with data storage, data processing, and data management. The report also explores the opportuniti...

This study outlines the notable efforts of creating of automatic speech recognition (ASR) system in Bengali. It describes data from the Bengali language's existing voice corpus and the major reports that have contributed to the recent research scenario. It provides an overview of dataset or corpus that has been created for bengali ASR, challenge fa...

Archived information is used in predictive modeling to foretell the future. In light of significant developments in this area, predictive modeling has attracted a lot of interest in recent years. This is also used by businesses to improve the accuracy of your predictions, such as the amount you expect to pay for a taxi journey in the city. For the...