Browsing by Subject "Natural language processing (Computer science)"

Now showing items 1-20 of 39

    • Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP 

      Rodela, Raisa Rahman; Efty, Farhan Tanvir; Rahman, Mubashira; Wajiha, Shaira (Brac University, 2024-01)
      Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ...

    • Automated essay scoring for Bangla 

      Mahjabin, Rubayet; Farzana, Shaoli; Zerin, Nishat; Chowdhury, Sameer Sadman; Hossain, Ishmam (Brac University, 2024-01)
      Grading papers is one of the most basic everyday tasks carried out in various manners, but the element of complexity always manages to find its way. It is a rigorous task to grade hundreds of papers. Still, the concept ...

    • 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 ...

    • Automated reference validation for scholarly publications using NLP 

      Khan, A S M Nasim; Khan, Mohammad Nasif Sadique; Howlader, MD. Adnan; Roy, Ayan (Brac University, 2024-01)
      Accurate references in scholarly publications are a crucial aspect of scientific writing. The manual validation of references can be a time-consuming and error-prone process. This research introduces an updated version ...

    • Automatic subtitle generation for Bengali multimedia using deep learning 

      Rhythm, Ehsanur Rahman; Arnob, Shafakat Sowroar; Shuvo, Rajvir Ahmed (Brac University, 2023-09)
      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 ...

    • BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization 

      Adib, Quazi Adibur Rahman; Alam, Sanjana Binte (Brac University, 2024-01)
      Despite significant improvements in the general-purpose text summarization task in the past decade, clinical conversion summarization is going through a tough time due to a lack of initiative to provide open-source ...

    • A comprehensive NLP-based voice assistant system for streamlined information retrieval in metro rail services of Bangladesh 

      Rahman, MD. Abir; Alamgir, Adnan; Chowdhury, Shaheedul Haque; Mushtari, Maliha; Anzum, Wasim (Brac University, 2024-01)
      Bangladesh’s capital city Dhaka is served by the Dhaka Metro Rail. A metro-rail based rapid transit system is considered one of the important technologies that may decrease the working-hour wasting issue in a developed ...

    • Deep convolutional GAN-based data augmentation for medical image classification 

      Datta, Joy; Durdana, Bedria; Rafi, Salwa (Brac University, 2022-01)
      The field of medical imaging is rapidly growing with the help of machine learning, yet the problem of scarcity in labeled medical imaging still remains. Therefore training a machine learning model for medical image ...

    • 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. ...

    • Detecting tweet sentiment and sarcasm on online learning during covid-19 

      Das, Shishir Kumar; Nisa, Khairun; Kabir, Razit; Tonni, Israt Jahan (Brac University, 2023-01)
      COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19, numerous educational institutions in the whole world ...

    • Emotion detection for Bangla language 

      Rushan, Rowshan Rahman; Hossain, Sazid; Shovon, Shams Shahariar; Rahman, Md Arafat (Brac University, 2024-01)
      This project aims to identify emotions and generate Bangla-language emojis. Emojis have become essential to digital communication, transcending language borders and improving textual exchanges. This study identifies ...

    • Enhancing email management and filtering through naive bayes based spam detection : a proposed email application solution 

      Rahman, Muhammad Farhan; Enam, Maisha; Shahreyar, Shadman; Mithylin, Valentina (Brac University, 2023-05)
      Spam emails make up almost half of the global mail traffic. These emails take up a large amount of space in the user’s inbox. However, a lot of time malware and viruses are embedded in these emails in the form of attachments ...

    • Exploration and mitigation of gender bias in word embeddings from transformer-based language models 

      Hossain, Ariyan; Haque, Rakinul; Hannan, Khondokar Mohammad Ahanaf; Rafa, Nowreen Tarannum; Musarrat, Humayra (Brac University, 2023-09)
      Machine learning has the potential to uncover data biases resulting from human error when it’s implemented without proper restraint. However, this complexity arises from word embedding, which is a prominent technique for ...

    • 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 ...

    • A GAN-based federated learning architecture for data augmentation of medical images 

      Al Rakin, Abdullah; Iqbal Majumder, MD. Akib; Kabir, Mohammad Farhan; Arafin, Rudmila (Brac University, 2022-09)
      n the medical industry, the availability of precise data limits the scope of deep learn ing applications. Institutional norms restrict hospitals and research facilities owing to privacy concerns. Therefore, data collection ...

    • Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach 

      Islam, Md. Nazmul; Al-Amin, Md.; Hassan, Md. Zaed; Islam, Tamzid (Brac University, 2024-01)
      The increasing number of elderly individuals living alone has emerged as a pressing global concern. Our research aims to address this issue by developing advanced modules that can be integrated into a system that enhances ...

    • Human sentiment analysis using natural language processing 

      Shamya, Md. Shamiul Haque Khan; Fahim, Md. Shariar Hossain; Khan, Niaz Makhdum; Monir, K.M Mahfuzul; Hussain, Mubasshir (Brac University, 2023-05)
      "Emotion is something that roams with us, the vibrant tapestry of our human existence. People are frequently so emotionally motivated that we may get a peek of their emotions simply by observing them, listening to them, ...

    • Identifying hate speech of Bangla language text using natural language processing 

      Rahman, Mushfiqur; Jui, Razia Sultana; Sakib, Chowdhury Nazmuz; Ridoy, Fahim Alavi; Ananya, Taskiea Tabassum (Brac University, 2024-01)
      In this era of the internet, sharing information through social media has provided significant benefits to humans. People can easily access and observe others’ lifestyles and work, as well as make comments or share ...

    • An integrated approach: fake review detection using convBERT-BiLSTM classification 

      Mahmud, Md. Anas; Hasan, Alina; Mahbub, Tajrian; Rafi, Navid Hasan; Faiaz, Rushayed Ali (Brac University, 2024-01)
      In the era of E-commerce, online reviews significantly shape consumer buying decisions and store evaluations. However, the prevalence of unethical practices such as review manipulation poses a considerable challenge. ...

    • 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 ...