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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Social media"

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Social media"

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  • Analysis of Social Media Use Among Village School Students 
    Rasheduzzaman, Md. (Daffodil International University, 23-01-18)
    The study's goal was to examine how village pupils used social media; assess the justifications for this use; and Pinpoint the issues that village students face when using social media. All students in the Village Students ...
  • An Artificial Intelligence Approach To Detect Hate Speech From Bangla Sentence 
    Islam, Md. Shimul; Kabir, Rejoyana; Islam, Fahima (Daffodil International University, 23-01-29)
    The kind of speech that occurs on the internet is intended to target a person or group on the basis of their religion, ethnicity, gender, disability, or even the color of their skin. Facebook and YouTube are two of the ...
  • Classification of Ethical and Unethical Social Media Activities Using Data Analytics 
    Yesmin, Farzana; Hossain, Shoaib (Daffodil International University, 23-02-18)
    In a society and era when they are prevalent, such as Instagram, Twitter, and Facebook, it could be challenging to identify the shortcomings of each program or website. In 2022, almost every person uses social media to get ...
  • Classification of Ethical and Unethical Social Media Activities Using Data Analytics 
    Yesmin, Farzana; Hossain, Shoaib (Daffodil International University, 23-02-18)
    In a society and era when they are prevalent, such as Instagram, Twitter, and Facebook, it could be challenging to identify the shortcomings of each program or website. In 2022, almost every person uses social media to get ...
  • Classifying the Cyber Bullying Bengali Words From Social Media Comments Using Machine Learning Algortihms 
    Sarkar, Joy (Daffodil International University, 23-02-12)
    Social media, which provides numerous options for contact, but raises the hazard and frightening circumstances online, particularly for the young people worldwide. The key to effective mitigation is recognition system of ...
  • Coming Out of Depression, Mental Illness Using Social Media Platform 
    Farhan, MD. Mohimen Al Islam; Nishy, Jannaty Akter (Daffodil International University, 23-01-29)
    Right now, social media is the quickest and most effective way to communicate. Through social media, people can communicate their thoughts and feelings. We wanted to build a social media platform where people could talk ...
  • A Corpus of Recognizing Emotions From Bengali Social Media Comments 
    Mahmood, Ashik; Rashed, Fairooz (Daffodil International University, 23-02-18)
    Sentiment analysis refers to the evaluation of any text, word, or other. Sentiment analysis, which is also defined as opinion mining, is a method of natural language processing (NLP) that determines the emotional subtext ...
  • Design and Development of a Model for Sentiment Analysis on Face-book Posts 
    Senjuti; Rashid, Md. Mamunur (Daffodil International University, 2018-05)
    Social media websites like Twitter, Facebook etc. are a major hub for users to express their opinions online. Sentiment is defined as a thought influenced by or proceeding from feeling or emotion. Sentiment analysis which ...
  • Design and Development of a tweet box for DIU 
    Noman, MD. Abdullah Al (Daffodil International University, 2019-11)
    Social media are interactive computer-mediated technologies that facilitate the creation and sharing of information, ideas, career interests and other forms of expression via virtual communities and networks. DIUTweetBox ...
  • Design and Development on Travel and Tourism 
    Mitu, Abu Al Nasir; Mou, Jannatul Ferdousi; Patwary, Md. Sharif (Daffodil International University, 23-01-29)
    To entertain oneself people of this generation surfs social media, play video games, watch movies and dramas on Netflix. However, at some point they all get bored of their virtual amusements which is actually confining ...
  • Detect Cyberbullying From Social Media on Bangla Text 
    Asif, Imtiaz Ahmmed; Roy, Apurbo (Daffodil International University, 23-02-18)
    The potential of social media is growing as more people use it every day. However, as more people use social media, bullying is also becoming more common in the comment sections of posts by well-known users and viral ...
  • Detection of Fake News with Natural Language Processing 
    Hossain, Fahmida (©Daffodil International University, 2022-01-22)
    In recent years sharing information through internet and various social platform has increased rapidly. It is very hard to find the credibility of those information. People are sharing news without knowing the proper fact. ...
  • Detection of Hate Speech on Social Media Using Machine Learning 
    Biswas, Rubel; Datta, Apurbo (Daffodil International University, 2019-12)
    The objective of our research to detect hate speech on social media. Everyday huge amounts of data generated by users of different social media. For this research, we created a data set collecting data from twitter. This ...
  • Detection of Suicidal Ideation on Social Media Profiles Using Machine Learning Techniques 
    Hossain, Sabbir (23-01-18)
    Nowadays, due to numerous reasons like the nuclear family, peer pressure for fake prestige, impatience mindset, and mental pressure has become a usual trait in every person. When someone finishes their own life, we say ...
  • Fake News Detection Using Machine Learning 
    Mahfuz, Rahat; Musa, Mahmudul Hasan (Daffodil International University, 23-03-29)
    Fake news on social media and other platforms is widespread, and it is a reason for great concern because of its potential to inflict significant social and national harm with negative consequences. Detection is already ...
  • Fake News Detection Using Machine Learning Algorithm 
    Hosen, MD Alamin; Mony, Akhi; Hasan, MD Touhid (Daffodil International University, 2022-01-04)
    Recent years have seen an explosion in social media usage, allowing people to connect with others. Since the appearance of platforms such as Facebook and Twitter, such platforms influence how we speak, think, and behave. ...
  • Fake News Detector 
    Miah, Toslim (Daffodil International University, 23-02-18)
    With the new social media prosperous, the feast of fake news has become a countless nervousness for everybody. It has been cast-off to manipulate public opinions, effect the election - most notably the US Presidential ...
  • Forensic analysis of Mobile device and Social Media: To make an impact in the area of cybercrime 
    Saha, Debanjana (Daffodil International University, 2019-05)
    In this research work, we are focusing to do a digital forensic analysis of social media through mobile devices to determine the main criminal. We considered accused people mobile device as the main evidence of cybercrime ...
  • Influence of Social Media Use on Academic Performance Among DIU Students 
    Ahmed, Abdiqani Aden (Daffodil International University, 2019-09-15)
    Social media is started when people start to communicate. Social means human society, as interference of people in groups and word is the medium of expressions. Most of the forms of Social Media are not digital. It ...
  • The Influence of Social Media Use on Users Online Purchase 
    Rahman, Md. Tahmidur; Sohel, Md. Amir; Hossen, Rayhan (Daffodil International University, 2019-12-07)
    The purpose of the report is to find out the usual behavior of the people of Bangladesh in online shopping at different ages. The increasing number of online purchase day by day make it must to find out the purchasing ...

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