Legal Text Classification in to Practice Areas Using Machine Learning

IJCSEC Front Page

Abstract:
Machine learning can be applied for various classification purposes in language processing. Application of machine learning to the legal domain remains a relatively new task. With the increasing ubiquity of the internet, individuals are looking more to internet resources to find relevant attorneys and to obtain answers to their legal questions. In this seminar report, a survey on various classifiers that can be applied for this application is conducted. the steps taken to build a machine learning classifier that successfully classifies legal questions or text into the most relevant practice area is described. We have created 6 different general categories that legal questions fall into. Categorizing legal questions into the correct practice area has many useful applications such as facilitating improved realtime feedback, information retrieval, relevant lawyer recommendations, and responses to users asking questions on Q&A websites.

Keywords: Multiclass Classification, Machine learning, Legal text.

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