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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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  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • Leveraging Algorithms for depression detection in natural language processing 
    Hasan, Nazmul (Daffodil International University, 2024-01-25)
    This research presents a comprehensive exploration of depression identification methodologies, employing a diverse array of classification algorithms, including Logistic Regression, Random Forest, Gradient Boosting, ...
  • A machine learning and deep learning approach for Baengali newspaper headline categorization 
    Dola, Shamrita Tazbin (Daffodil International University, 2024-01-01)
    The internet world is called a repository of information and data. Where there is a huge amount of information and data collection. Through internet people can access any kind of information and data from any place at ...
  • A machine learning ang deep learning approach for Baengali newspaper headline categorization 
    Dola, Shamrita Tazbin (Daffodil International University, 2024-01-25)
    The internet world is called a repository of information and data. Where there is a huge amount of information and data collection. Through internet people can access any kind of information and data from any place at ...
  • Personality prediction based on social media posts using deep learning algorithms 
    Nahid, Nazmul Hosain (Daffodil International University, 2024-01-25)
    This study analyzes the complicated field of personality prediction through the use of the diverse data embedded in social media posts. Our research uses many different areas of machine learning and deep learning algorithms ...
  • Product review sentiment analysis by text vectorization and machine learning 
    Al - Amin, Md. (Daffodil International University, 2024-01-25)
    In Bangladesh, online marketing and e-commerce businesses have prospered in the age of Internet technology. Online shopping has taken over as the primary method of shopping during periods when people are restricted because ...
  • Sentiment analysis on Bangladesh cricket team's world cup prospects: a study of Bengali social media comments 
    Smrity, Sharmina Urmila (Daffodil International University, 2024-01-25)
    The Bangladesh cricket team has developed a sizable following on social networking sites, where supporters share their thoughts, feelings, and sentiments regarding the team's performance. The purpose of this thesis is ...
  • Spam text detection by using ML Algorithm 
    Unknown author (Daffodil International University, 2024-01-25)
    Nowadays,the number of mobile users is always increasing. SMS stands for "short messaging service," which lets the users send and receive short text messages on regular phones as well as smartphones. The quantity of SMS ...
  • Spam text detection by using ML Algorithms 
    Sumiya (Daffodil International University, 2024-01-01)
    Nowadays,the number of mobile users is always increasing. SMS stands for "short messaging service," which lets the users send and receive short text messages on regular phones as well as smartphones. The quantity of SMS ...
  • Understanding public sentiment using social media activities: a machine learning approach 
    Habib, Md. Ferdous (Daffodil International University, 2024-01-24)
    People use different social media platform to express their thoughts in their profiles or write comments on various aspects of world. Then a huge amount of data is generated and are stored on the internet in an unorganized, ...
  • Understanding public sentiment using social media activities: a machine learning approach 
    Habib, Md. Ferdous (Daffodil International University, 2024-01-25)
    People use different social media platform to express their thoughts in their profiles or write comments on various aspects of world. Then a huge amount of data is generated and are stored on the internet in an unorganized, ...

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