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Rumor detection in Bangla using machine learning & deep learning

Ahmed, Md Istiaq; Anoy, Shoumik Malakar; Nusrat, Elham; Ahmed, Risat (Brac University, 2022-05)

Over the last decade, social media networks have become a vital platform for sharing and obtaining information. Nevertheless, one of the dark sides of this social media fever is rumors and fake news. Because misinformation ...

Vulgar and spam comment identification using Gluon Natural Language Processing and Convolution Neural Networks

Jahan, Rufyda (BRAC University, 2019-04)

With the advancement of technology, the virtual platform and social media have become an important part of people’s daily life. The social media allows users to communicate, to express their feelings and to discuss on ...

Personal information from Bangla speech signal using MFCC and GMM

Hridy, Maisha Munawara; Hasan, Md. Hasib; Emon, Mahfuz Al (Brac University, 2019-08)

Our system extracts personal information from bangla speech. Dataset that was used consists real-life voice inputs from di erent age and gender groups. A set of Bengali speech samples from YouTube were used as input ...

A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users

Nahar, Fatiha Binte Kamrun; Afsana, Umme Halima; Chowdhury, Azizul Muktadir; Hasnaen, Maha; Jahan, Sumaya (Brac University, 2023-01)

In this research, we propose a hybrid model for predicting suicide risk from text data that incorporates BERT, VADER, and a Random Forest classifier for sentiment analysis. This model aims to identify individuals who may ...

Extracting information from social media platform for early detection of depression among individuals

Noman, Mirza Abdullah Al; Khan, Waleed Bin Habib; Chowdhuruy, Pratick Roy (Brac University, 2023-05)

In our world, 3.8% of the total population is suffering from depression and it is the fourth major cause of death in 15-29 year olds. It is estimated that more than 75% of people suffering from it in low and middle income ...

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

Symum, Md Abdullah Al; Sheemu, Subarna Yeasmin; Asif, Abu Saleh Md.; Islam, Konika (Brac University, 2023-05)

People are influencing aspects of the digital world through machines. As a result, it is crucial to upgrade and use this aspect to do so. In the past, people used written letters to provide feedback. However, people are ...

Automated image caption generator in Bangla using multimodal learning

Rodoshi, Mashiat Hasin; Ahmed, Moin Uddin; Ashraf, Md. Sobhan; Mim, Md. Galib Hasan; Khanam, Ashfia (Brac University, 2023-01)

Experiencing an image on-screen is a privilege that we often seem not to care about. A visually impaired person does not have that luxury. A system that can automatically produce closed captions of an image can thus help ...

Sentiment analysis in Bengali Text using NLP

Sarkar, Ankon; Sourav, Aishwarja Paul; Ahmed, Rezvi (Brac University, 2023-01)

Natural Language Processing, a branch of AI, teaches computers to understand speech and text in multiple languages. Machine learning or deep learning techniques can be used to develop rule-based models of human-spoken ...

Detecting sarcasm in Bengali comments using NLP

Chowdhury, Md. Jamiur Rahman (Brac University, 2023-01)

Natural Language Processing (NLP) is a subset of Machine Learning which resides at the intersection of Linguistics and Computer Science. It deals with the capability of computers to learn and work with human languages. ...

Market demand analysis using NLP in Bangla language

Hossain, Md Sabbir; Nayla, Nishat (Brac University, 2021-09)

Product market demand analysis plays a significant role for originating business strategies due to its noticeable impact on the competitive business field. Furthermore, there are roughly 228 million native Bengali speakers, ...