Now showing items 1-19 of 19

    • An advanced hospital rating system using machine learning and natural language processing 

      Tamjid, Ali Asgar; Galpo, Gaurab Paul; Urmi, Khadija Begum; Chitto, Fatema Sadeque; Annafi, Sadia (Brac University, 2023-05)
      Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ...
    • Affective social anthropomorphic intelligent system 

      Mamun, Md. Adyelullahil; Abdullah, Hasnat Md. (Brac University, 2021-01)
      At present, intelligent virtual assistants (IVA) are not only about delivering the functionalities and increasing their performances; they also need a socially interactive personality. As human conversational styles are ...
    • Analyzing CV/resume using natural language processing and machine learning 

      Reza, Md. Tanzim; Zaman, Md. Sakib (BRAC University, 2017)
      This paper proposes a model of extracting important information from the semi-structured text format in a curriculum vitae or resume and ranking it according to the preference of the associated company and requirements. ...
    • Automatic text summarization using Gensim Word2Vec and K-Means Clustering Algorithm 

      Haider, Mofiz Mojib; Hossin, Md. Arman; Mahi, Hasibur Rashid (Brac University, 2020-04)
      The significance of text summarization in the Natural Language Processing (NLP) community has now expanded because of the staggering increase in virtual textual materials. Text summary is the process created from one or ...
    • Automation requirements engineering using machine learning 

      Abid, Md.Mehedy Hasan; Tanna, Rubaya Neshat; Noyon, Mahbubur Rahman; Masud, Jahidul Hasan; Akter, Tahmina (Brac University, 2021-09)
      Machine learning algorithms help to automate the process in many di erent problem domains. In the eld of Software engineering. Requirement engineering is one of the rst stages of software development. This research ...
    • AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP 

      Chowdhury, Salman Mostafiz; Rohid, Ali Ahammed; Hussain, Rizwan; Mostafa, Chowdhury Sujana (Brac University, 2022-01)
      Audiovisual data is the most extensively used and abundantly distributed type of data on the internet in today’s information and communication age. However, the necessary audiovisual data is challenging to retrieve because ...
    • Conversational AI for companionship 

      Khan, Zakaria; Akash, Salauddin Md; Jamima, Afia Mobassira; Ishan, Isfar Hasan (Brac University, 2022-05)
      The conversational style of a human is estimated by humor, personality, voice tone, etc. These characteristics are necessary for virtual assistants that are artificially intelligent for conversation. This research ...
    • Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques 

      Al Taawab, Abdullah; Rahman, Mahfuzzur; Islam, Zawadul; Mustari, Nafisa (Brac University, 2022-05)
      Uprising a child is a psychological construct of parents, which is a combination of factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have ...
    • Examining lexical and grammatical difficulties in Bengali language using NLP with machine learning 

      Afroz, Sazia; Susmoy, M. Samiur Rahman; Anjum, Farhan; Nowshin, Nadiya (Brac University, 2021-01)
      Speech is the most relevant form of communication between individuals whereas computer systems use basic form of text or images Speech synthesis deals with the artificial production of speech, and a Speech-to-Text (STT) ...
    • FakeDetect: Bangla fake news detection model based on different machine learning classifiers 

      Sraboni, Tasnuba; Uddin, Md. Rifat; Shahriar, Fahim; Rizon, Ruhit Ahmed; Polock, Shakib Ibna Shameem (Brac University, 2021-06)
      Information is power although fake information can have severe consequences when it gets viral. Living in the era of social media is like always getting influenced by the news of the online world even though it is fake. ...
    • 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, ...
    • A hybrid rumor detection model derived from a comparative study of supervised approaches 

      Aothoi, Mehzabin Sadat; Ahsan, Samin; Ahmed, Fardeen (Brac University, 2023-01)
      In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ...
    • Prediction of anxiety and depression among the transgender in Bangladesh 

      Easha, Ishrat Jahan; Faiza, Fairooz Afnad; Sadique, Mohammad Rafiuddin; Tabassum, Fatima; Uddin, Md. Rakib (Brac University, 2022-05)
      Today, mental health is as important as safety. It affects people directly and indirectly. Transgender people with mental health issues are often overlooked and in our nation, especially transgender women, suffer from ...
    • Research on the latest trends in Bangla named entity recognition 

      Farhan, Niloy; Joy, Saman Sarker; Mannan, Tafseer Binte (Brac University, 2023-05)
      Named Entity Recognition (NER) is a sub-task of Natural Language Processing (NLP) that distinguishes entities from unorganized text into predefined categorization. In recent years, a lot of Bangla NLP subtasks have received ...
    • Sentiment analysis using Natural Language Processing (NLP) & deep learning 

      Islam, Kazi Minhazul; Reza, Md. Safkat; Yeaser, MD. Samin (Brac University, 2021-09)
      It is an age of the Web and electronic media, and social media stages are one of the foremost frequently used communication mediums these days. But a few individuals utilize these platforms for a noxious reason and among ...
    • Stock Market Price movement prediction using RNN and Point-weight Sentiment 

      Uddin, S. M. Rageeb Noor; Naim, Jannatul Arafat; Pranjol, Mashuk Arefin; Ashrafi, Almas; Emon, Ibthasham Amin (Brac University, 2022-01)
      Predicting the price of stocks has always been an exciting and challenging field for academics and investors for a long time as it helps to gain high-profit margins for investment companies, investors, and emerging ...
    • Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning 

      Ahmed, Shuvro; Mojumder, Rajesh; Rahman, MD.Mahmudur; Karmoker, Joy; Fatin, Shadman (Brac University, 2023-01-23)
      Customers are the heart and soul of supermarkets, and these stores often suffer losses due to mishandling of customer service. This study aims to examine how the satisfaction of customers can be maximized with the help ...
    • Text classification with an efficient preprocessing technique for cross-language and multilingual data 

      Khan, Towhid; Mallick, David Dew; Khan, Md.Shakiful Islam; Hasan, Md Mahadi (Brac University, 2022-09-28)
      The procedure of eradicating extraneous textual elements and preparing or process- ing the values to be fed into the classifier model is often indicates the concept of text-preprocessing. There are several preprocessing ...