Hashtag the Tweets: Experimental Evaluation of Semantic Relatedness Measures
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 6
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.
Authors and Affiliations
Muhammad Asif, Nadeem Akhtar, Mujtaba Husnain, Malik Missen, Hina Asmat
Keywords
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- EP ID EP118015
- DOI 10.14569/IJACSA.2016.070662
- Views 81
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