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Browsing Articles by Subject "Support vector machines"

Browsing Articles by Subject "Support vector machines"

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  • Analyzing Performance of Different Machine Learning Approaches with Doc2vec for Classifying Sentiment of Bengali Natural Language 
    Hoque, Md. Tazimul; Islam, Ashraful; Ahmed, Eshtiak; Mamun, Khondaker A.; Huda, Mohammad Nurul (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04)
    Vector or numeric representation of text documents has been a revolution in natural language processing as it represents similar parts of text in such a way that they are very close to each other, making it very easy to ...
  • A Computer Vision Technique to Detect Scab on Malabar Nightshade 
    Mojumdar, Mayen Uddin; Chakraborty, Narayan Ranjan (IEEE, 2020-10-15)
    Agribusiness and its efficiency have a decent effect on the financial development of each nation. In Agriculture, leaf ailments have become an issue because it may a create basic decline in both quality and measure of ...
  • A Deep Learning Study on Understanding Banglish and Abbreviated Words Used in Social Media 
    Das, Suharto; Islam, Md Sanzidul; Mahmud, Imran (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021-05-26)
    Day by Day, the trend of using social media(SM) has increased among the people. With the increasing rate, the use of Banglish (Merge of Bangla and English) and shortcut words has also being increased. In this research, ...
  • Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms with Relief and LASSO Feature Selection Techniques 
    Ghosh, Pronab; Azam, Sami; Jonkman, Mirjam; Karim, Asif; Shamrat, F. M. Javed Mehedi; Ignatious, Eva; Shultana, Shahana (IEEE, 2021-01-22)
    Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using ...
  • Hotel Review Analysis for the Prediction of Business Using Deep Learning Approach 
    Hossen, Md.Sagar; Jony, Anik Hassan; Tabassum, Tasfia; Islam, Md. Tanvir; Rahman, Md Mahfujur; Khatun, Tania (IEEE, 2021-04-12)
    Sentiment analysis is a widely used topic in Natural Language Processing that allows identifying the opinions or sentiments from a given text. Social media is the scope for the customers to share their opinion over the ...
  • Integrated Use of Rough Sets and Artificial Neural Network for Skin Cancer Disease Classification 
    Hasan, Md. Zahid; Shoumik, Shadman; Zahan, Nusrat (5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2 2019, IEEE, 2019)
    The aim of this study is to build a classifier for predicting a disease existence by learning a least conventional set of features extracted from the clinical dataset. Rough set, indiscernibility relation method along with ...
  • A Machine Learning Approach to Recognize Junk Food 
    Khan, Tanjed Ahmed; Islam, Md. Shahidul; Ullah, S.M Aman; Rabby, AKM Shahariar Azad (Scopus, 2020)
    People are naturally food grains. So they are always looking for appetizing food and junk foods are the largest source of it. Recent time the most observable point is that peoples are attracted to outdoor foods than homemade ...
  • Pharmacovigilance Study of Opioid Drugs on Twitter and PubMed Using Artificial Intelligence 
    Rifat, Md Jamiur Rahman; Noori, Sheak Rashed Haider; Hasan, Md Rashedul (2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2019-12-30)
    Increased usage and under reporting of adverse drug reactions (ADRs) of opioids instigates us to explore some other data sources like Twitter and PubMed. Our paper aims at discovering illegal trafficking of opioids as well ...
  • Predicting Satisfaction of Online Banking System in Bangladesh by Machine Learning 
    Shetu, Syeda Farjana; Jahan, Israt; Islam, Mohammad Monirul; Hossain, Refath Ara; Moon, Nazmun Nessa; Nur, Fernaz Narin (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    Online banking refers to using your smartphone, tablet, or another internet-connected computer to browse and access your bank account. It is quick and free, and it usually allows you to perform a variety of activities, ...
  • Sentiment Analysis From Depression-related User-generated Contents from Social Media 
    Saha, Ananna; Marouf, Ahmed Al; Hossain, Rafayet (2021 8th International Conference on Computer and Communication Engineering (ICCCE), IEEE, 2021-07-01)
    In this paper, we try to detect the sentiment levels such as positive, negative and neutral sentiments from depression related posts and comments generated in social media platforms. Social media platforms such as Facebook, ...

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