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Browsing Project Report by Subject "Natural Language Processing (NLP)"

Browsing Project Report by Subject "Natural Language Processing (NLP)"

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  • Adapting Whisper AI for Multilingual Speech-To-Text Conversion in Bangladeshi Ethnic Languages 
    Yeiad, Kabid; Jim, Jannatul Ferdushi (Daffodil International University, 2024-07-24)
    This research shows how a full speech-to-text and translation system was made to turn sounds from five different ethnic languages into Bangla. These languages are Malo, Bawm, Santali, Marma, and Garo. The study looks at ...
  • Artificial Intelligence-based Regional Language Analysis 
    Kumar, Kabbo; Hossain, Tanjil (Daffodil International University, 2024-07-24)
    Bangla, also known as Bengali, is a prominent language spoken by over 230 million people globally and serves as the official language of Bangladesh and one of the 22 scheduled languages of India. Despite its widespread ...
  • Bangla fake news identification using deep learning and machine learning 
    Hossain, Md. Shakhawat (Daffodil International University, 2024-01-25)
    Identification Of Bangla Fake News is very challenging, mostly when there is so much news from multiple online sources like social media, online news, and other online platforms. Detecting fake news is comparable in ...
  • Bangla Product Review Sentiment Analysis By ML & DL Approach 
    Islam, Rashedul; Sadik, Sadman (Daffodil International University, 2024-07-13)
    In this age of internet technology, e-commerce and online marketing companies in Bangladesh were already doing well. As a result of the widespread quarantines caused by the COVID-19 pandemic, online shopping has surpassed ...
  • Bengali news clustering using k-means clustering based on LSA 
    Zilani, Rashedul Alam (Daffodil International University, 2024-01-25)
    Effective information retrieval and organization have become increasingly important, especially in contexts involving diverse cultural backgrounds, as the continued growth of digital content has demonstrated. The subject ...
  • Bengali social media comments analysis to prevent cyberbullying 
    Abdullah, A. S. M. Sohag; Debnath, Sany (Daffodil International University, 2024-07-15)
    One of the significant wonders of modern technology is social networking platforms. This gives a major acceleration to the field of communication. With such good advantages of this technology this has a darker side too. ...
  • Classification of English Translated Holy Quran & Generating Verses Based on Search Index 
    Hasan, Hadika (Daffodil International University, 2024-07-24)
    The English translation of the Holy Quran serves as an essential guide for spiritual enlightenment and wisdom globally. This research emphasizes the application of advanced deep learning techniques for classifying and ...
  • Classification of English Translated Holy Quran & Generating Verses Based on Search Index 
    Hasan, Hadika (Daffodil International University, 2024-07-24)
    The English translation of the Holy Quran serves as an essential guide for spiritual enlightenment and wisdom globally. This research emphasizes the application of advanced deep learning techniques for classifying and ...
  • Comprehensive AI Solution for Breast Cancer Detection using Deep Learning Approach 
    Bithi, Ieshita Nasrin (Daffodil International University, 2024-07-24)
    The study utilizes deep learning, primarily transfer learning models, to enhance breast cancer diagnosis using ultrasound images. The Breast Ultrasound images (BUI) collection included 780 images classified as benign ...
  • Cyberbullying detection from Bangla social media comments using machine learning 
    Hasan, Md. Nayeem; Jubayer, S.M Anzumul (Daffodil International University, 2024-07-24)
    Cyberbullying is becoming more common and is a big problem for people's mental health and for society. We need strong monitoring systems that can work in a variety of Bangla language contexts. The main goal of this study ...
  • Cyberbullying detection on Bangla social media comments 
    Bhuyain, Md. Arman (Daffodil International University, 2024-01-01)
    This study investigates the potential of machine learning algorithms in detecting signs of depression within Bengali text on social media platforms. As mental health concerns continue to rise globally, understanding ...
  • A deep learning based text summarization process 
    Biswas, Binti (Daffodil International University, 2024-01-21)
    Technological innovation has greatly improved our quality of life. But people's attention spans are getting shorter and people want to read for shorter periods of time at a rapid pace. Because of this, it's crucial to ...
  • A deep learning based text summarization process 
    Biswas, Binti (Daffodil International University, 2024-01-22)
    Technological innovation has greatly improved our quality of life. But people's attention spans are getting shorter and people want to read for shorter periods of time at a rapid pace. Because of this, it's crucial to ...
  • Extractive text rank-based NPL news summarization for multiple domain 
    Mustofa, Md. Wazih Ullah (Daffodil International University, 2024-01-22)
    This paper provides a thorough analysis of extractive summarization, or the use of Natural Language Processing (NLP) techniques to summarize news articles. Approximately two thousand articles covering a wide range of ...
  • Fake news detection on Bengali linguistic using deep learning approach 
    Shahariar, Shihab (Daffodil International University, 2024-01-01)
    A vast quantity of data and information are available on the internet. Because the internet is so widely available and has resulted in a tremendous growth in the number of online news, people are interested in reading ...
  • Food review sentiment analysis by FastText and machine learning approach 
    Hasan, Md. (Daffodil International University, 2024-01-24)
    The purpose of this project is to investigate the use of sentiment analysis techniques to analyze food evaluations that are written in the Bengali language and posted on online delivery platforms in Bangladesh. On the ...
  • Identifying the research field of a scientific paper from the abstract using deep learning approaches 
    Sarker, Sudipto (Daffodil International University, 2024-01-25)
    This study explores the application of deep learning to automate the identification of research fields within scientific paper abstracts. The goal is to create a resilient model that effectively categorizes the primary ...
  • Improving Bangla Hate Speech Detection: An Ensemble Machine Learning Approach 
    Tarafde, Sonjoy Kumar (Daffodil International University, 2024-07-13)
    Hate speech that is spread online often targets individuals on the basis of many parts of their identity, such as their race, ethnicity, gender, sexual orientation, religion, nationality, disability, and other characteristics. ...
  • Improving Bengali text analysis through convolutional neural networks 
    Sakib, Md. Sadman (Daffodil International University, 2024-07-13)
    Speech categorization is essential for applications like speech recognition and emotionanalysis. Despite the proven effectiveness of Convolutional Neural Networks (CNNs) inspeech categorization, limited research has focused ...
  • Leveraging Algorithms for depression detection in natural language processing 
    Hassan, Nazmul (Daffodil International University, 2024-01-01)
    This research presents a comprehensive exploration of depression identification methodologies, employing a diverse array of classification algorithms, including Logistic Regression, Random Forest, Gradient Boosting, ...

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