Access Restriction

Author Ravi Kumar, V.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Latent Dirichlet Allocation ♦ Legal Judgment ♦ Legal Document ♦ Lda Topic Model ♦ Effective Manner ♦ Information Technology Researcher ♦ Different Cluster ♦ Similarity Measure ♦ First Approach ♦ Legal Community ♦ Indian Legal Judgment ♦ Large Amount ♦ Distributed Manner ♦ Developed Topic ♦ Digital Form
Abstract At present due to the availability of large amount of legal judgments in the digital form creates opportunities and challenges for both the legal community and for information technology researchers. This development needs assistance in organizing, analyzing, retrieving and presenting this content in a helpful and distributed manner. We propose an approach to cluster legal judgments based on the topics obtained from Latent Dirichlet Allocation (LDA) using similarity measure between topics and documents. The developed topic based clustering model is capable of grouping the legal judgments into different clusters in effective manner. As per as our knowledge is concerned this is the first approach to cluster Indian legal judgments using LDA topic model.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study