Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Enhancing Accessibility of Messages Using Clustering and Labeling In Micro blogging’s

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  • @INPROCEEDINGS{10.4108/eai.16-5-2020.2304025,
        author={Syed Thouheed Ahmed and KV  Charan and V  Sudha and H  Suma and M  Sindhu and J Shree Ranjani and Prerana K Jayaprakash},
        title={Enhancing Accessibility of Messages Using Clustering and Labeling In Micro blogging’s},
        proceedings={Proceedings of the First  International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India},
        publisher={EAI},
        proceedings_a={ICASISET},
        year={2021},
        month={1},
        keywords={micro blogging nlp social media clustering labeling},
        doi={10.4108/eai.16-5-2020.2304025}
    }
    
  • Syed Thouheed Ahmed
    KV Charan
    V Sudha
    H Suma
    M Sindhu
    J Shree Ranjani
    Prerana K Jayaprakash
    Year: 2021
    Enhancing Accessibility of Messages Using Clustering and Labeling In Micro blogging’s
    ICASISET
    EAI
    DOI: 10.4108/eai.16-5-2020.2304025
Syed Thouheed Ahmed1,*, KV Charan1, V Sudha1, H Suma1, M Sindhu1, J Shree Ranjani1, Prerana K Jayaprakash1
  • 1: Dept. of Computer Science and Engineering, Dr. T Thimmaiah Institute of Technology, Karnataka, India
*Contact email: Syed@drttit.edu.in

Abstract

In recent years social media micro blogs has gaining popularity due to increasing availability, immediacy and new way of communication medium. The increasing quantity of micro blogging messages creates many challenges for its proper adoption. One such problem of difficulty in accessibility of inter-ested micro blog messages is addressed in our proposed System using NLP technique. The traditional method of message accessing is slow and doesn't es-tablish any semantic and structural relationship between the words in a sen-tence. The proposed system overcomes this using clustering and labeling of messages having similar semantic and verbal association. The result shows 50% improvement in the message accessibility compared to manual method of searching the particular message in a large micro blogs of 100 pages.