Abstract
The judicial system has evolved tremendously over the past years. Thousands of cases are registered daily and stored in the form on documents which are used by lawyers whenever required. Lawyers are important stakeholders in judicial system and constantly study multiple cases during their work. Manual retrieval of this information from a collection is very difficult. This is where the information retrieval system comes in picture. This article is a brief comparison of various information retrieval models which are currently being used. It includes the Boolean model, TF-IDF model, vector space model, Okapi BM25 model and fuzzy search models. Each of these models is tested on three datasets, and their results were noted. The experimental results unfold that the Okapi BM25 model outperformed the other models in the case study. The results also show that document pre-processing plays an important role in the effectiveness of the query-document matching.
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Desai, D., Ghadge, A., Wazare, R., Bagade, J. (2022). A Comparative Study of Information Retrieval Models for Short Document Summaries. In: Smys, S., Bestak, R., Palanisamy, R., Kotuliak, I. (eds) Computer Networks and Inventive Communication Technologies . Lecture Notes on Data Engineering and Communications Technologies, vol 75. Springer, Singapore. https://doi.org/10.1007/978-981-16-3728-5_42
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