Browsing by Subject "Natural language processing"

Now showing items 1-17 of 17

    • 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 ...

    • BWN- A software platform for developing Bengali wordnet 

      Khan, Mumit; Faruqe, Farhana (BRAC University, 2008)
      Advanced Natural Language Processing (NLP) applications are increasingly dependent on the availability of linguistic resources, ranging from digital lexica to rich tagged and annotated corpora. While these resources are ...

    • Computer assisted learning dictionary for rural students 

      Rasel, Annajiat Alim (BRAC Univeristy, 2018-05)
      It is observed that rural students (the target demography) are falling far behind in the countrywide standard tests like SSC and HSC. As high as up to 80% of students from rural areas are failing in national English ...

    • 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. ...

    • 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 ...

    • Feature unification for morphological parsing in Bangla 

      Dasgupta, Sajib; Khan, Dr. Mumit (BRAC University, 2004)
      This paper describes a Feature Unification Based Word Grammar model for the morphological parsing of Bangla words. While normal morphological parsing strategy is adequate to decompose a word into morphemes, it is not able ...

    • Interpretable Bangla fake news classification using BERT and traditional machine learning approaches 

      Anan, Ramisa; Modhu, Elizabeth Antora; Suter, Arjun; Sneha, Ifrit Jamal (Brac University, 2022-09-29)
      Fake news is a type of content that is inaccurate or misleading and it is usually published with the intention of damaging a person or organization’s reputation. It has recently grown significantly in the online forum ...

    • 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 ...

    • 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, ...

    • Multimodal fake news detection using text and image 

      Biswas, Trisha; Lamia, Tasmim Afroj; Shykat, Tarikul Islam; Rafi, Md. Arifin Ahmed (Brac University, 2023-05)
      Development in information and technology has made the communication easier in the recent decades. Easy access of social media is creating restraints amid of differentiating fake and real news. In the recent period the ...

    • 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 ...

    • Rating detection by reviews using ML and NLP towards mobile phone recommendation 

      Sarker, Md Wafi; Al Nahian, Sheikh Sanzid; Khan, Anjumand Moshtari; Oraib, Abdullah; Islam, Sikder Mohidul (Brac University, 2023-01)
      Product recommendation is a type of marketing tool that has become increasingly important for businesses as well as in purchasing goods in the digital age. Prod uct recommendation is the process of suggesting items to ...

    • References validation in scholarly articles using RoBERTa 

      Nasib, Abdullah Umar (Brac University, 2023-05)
      In the recent era of technological advancement, evaluating references and assignments and validating those are some of the primary processes to justify the authenticity of a research work in the academic sector. The purpose ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...