Classifying Legal Questions into Topic Areas Using Machine Learning
نویسندگان
چکیده
In this paper we describe the steps taken to build a machine learning classifier that successfully classifies legal questions into the most relevant practice area. We have created 16 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.
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