Abstract
Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information and speeding up the search performance. A novel algorithm called PM-HR (Pattern Mining for Hashtag Retrieval) is designed to first transform the set of tweets into a transactional database by considering two different strategies (trivial and temporal). After that, the set of the relevant patterns is discovered, and then used as a knowledge-based system for finding the relevant tweets based on users’ queries under the similarity search process. Extensive results are carried out on large and different tweet collections, and the proposed PM-HR outperforms the baseline hashtag retrieval approaches in terms of runtime, and it is very competitive in terms of accuracy.
Highlights
A hashtag is a type of metadata tag widely used on social networks, e.g., Twitter or Facebook
HR (Hashtag Retrieval) aims at finding the relevant hashtags for the given query from a corpus of tweets, and can be considered as one of the major information retrieval problems [2], especially their variants for social networks have rapidly grown in recent decades
We focus on the hashtag retrieval problem
Summary
A hashtag is a type of metadata tag widely used on social networks, e.g., Twitter or Facebook. The accuracy is often reduced when dealing with large corpus of tweets This is due to the fact that these approaches ignore the correlation among the set of hashtags, and use traditional search strategies for finding the relevant hashtags. The classification, clustering, frequent itemset/ association-rule mining classifies new documents, partitions documents into similar groups, and discovers frequent terms from the collection of documents, respectively Those approaches achieve better performance in terms of runtime, they only focus on the problem of information retrieval for documents. A. Belhadi et al.: Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem approach for retrieving information from the microblogging datasets. Belhadi et al.: Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem approach for retrieving information from the microblogging datasets This solution is limited to the microblogging environment.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call