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Research Article | Open Access |

Hashtag the Tweets: Experimental Evaluation of Semantic Relatedness Measures

Author 1: Muhammad Asif Author 2: Malik Muhammad Saad Missen Author 3: Nadeem Akhtar Author 4: Hina Asmat Author 5: Mujtaba Husnain Author 6: Muhammad Asghar
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 6 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.070662

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Abstract

On Twitter, hashtags are used to summarize topics of the tweet content and to help search tweets. However, hashtags are created in a free style and thus heterogeneous, increasing difficulty of their usage. Therefore, it is important to evaluate that if they really represent the content they are attached with? In this work, we perform detailed experiments to find answer for this question. In addition to this, we compare different semantic relatedness measures to find this similarity between hashtags and tweets. Experiments are performed using ten different measures and Adapted Lesk is found to be the best.

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How to Cite this Article

Asif, M., Missen, M. M. S., Akhtar, N., Asmat, H., Husnain, M., & Asghar, M. (2016). Hashtag the Tweets: Experimental Evaluation of Semantic Relatedness Measures. International Journal of Advanced Computer Science and Applications, 7(6). https://doi.org/10.14569/IJACSA.2016.070662

Asif, Muhammad, et al.. "Hashtag the Tweets: Experimental Evaluation of Semantic Relatedness Measures." International Journal of Advanced Computer Science and Applications, vol. 7, no. 6, 2016, https://doi.org/10.14569/IJACSA.2016.070662.

@article{Asif2016,
  title     = {Hashtag the Tweets: Experimental Evaluation of Semantic Relatedness Measures},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Muhammad Asif and Malik Muhammad Saad Missen and Nadeem Akhtar and Hina Asmat and Mujtaba Husnain and Muhammad Asghar},
  doi       = {10.14569/IJACSA.2016.070662},
  url       = {https://doi.org/10.14569/IJACSA.2016.070662}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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